[100% OFF] Data Science: Supervised Machine Learning Bootcamp in Python Free
This course focuses on one of the main branches of Machine Learning that is Supervised Learning in Python. If you are not familiar with Python, there is nothing to worry about because the Lectures comprising the Python Libraries will train you enough and will make you comfortable with the programming language.
The course is divided into two sections, in the first section, you will be having lectures about Python and the fundamental libraries like Numpy, Pandas, Seaborn, Scikit-Learn and Tensorflow that are necessary for one to be familiar with before putting his hands-on Supervised Machine Learning.
Then is the Supervised Learning part, which basically comprises three main chapters Regression, Classification, and Deep Learning, each chapter is thoroughly explained, both theoretically and experimentally.
During all of these lectures, we’ll be learning how to use the different machine learning algorithms to create some mind-blowing modules of Machine Learning, and at the end of the course, you’ll be trained enough that you would be able to develop you own Recognitions Systems and Prediction Models and many more.
Let's get started!
Who this course is for:
Those who are interested in AI and Machine Learning
Those who have basic knowledge of any programming language
Those who want to be create awesome Machine Learning and AI modules
And those who want to earn some handsome amount of money from Machine Learning Field in Future
Authentication for traditional web applications is... More fairly straight-forward: we send our credentials to the server, a session is created, and a cookie is returned to be saved in the browser. This method works well for round-trip applications, but it isn't a good way to do authentication in modern single page apps, like those built with AngularJS.
In this course we are going to learn about the challenges associated with traditional authentication and how to use what is arguably the best alternative: the JSON Web Token.
Using that knowledge, we'll implement authentication in an AngularJS app that makes calls to an Express API. We'll cover how to address all the challenges associated with keeping a single page application in check when it comes to stateless authentication. This can be a tricky matter since the front end and backend apps are effectively separated, but we'll find out how to leverage our user's JWT to address the challenges.
We'll use Auth0 as an identity and authentication server so that we don't have to roll our own.
Who this course is for:
Anyone that wants to learn AngularJS Less
You're looking for a complete Decision tree course... More that teaches you everything you need to create a Decision tree/ Random Forest/ XGBoost model in Python, right?
You've found the right Decision Trees and tree based advanced techniques course!
After completing this course you will be able to:
Identify the business problem which can be solved using Decision tree/ Random Forest/ XGBoost of Machine Learning.
Have a clear understanding of Advanced Decision tree based algorithms such as Random Forest, Bagging, AdaBoost and XGBoost
Create a tree based (Decision tree, Random Forest, Bagging, AdaBoost and XGBoost) model in Python and analyze its result.
Confidently practice, discuss and understand Machine Learning concepts
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course.
If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the advanced technique of machine learning, which are Decision tree, Random Forest, Bagging, AdaBoost and XGBoost.
Why should you choose this course?
This course covers all the steps that one should take while solving a business problem through Decision tree.
Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course
We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones:
This is very good, i love the fact the all explanation given can be understood by a layman - Joshua
Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
Download Practice files, take Quizzes, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.
What is covered in this course?
This course teaches you all the steps of creating a decision tree based model, which are some of the most popular Machine Learning model, to solve business problems.
Below are the course contents of this course on Linear Regression:
Section 1 - Introduction to Machine Learning
In this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model.
Section 2 - Python basic
This section gets you started with Python.
This section will help you set up the python and Jupyter environment on your system and it'll teach you how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn.
Section 3 - Pre-processing and Simple Decision trees
In this section you will learn what actions you need to take to prepare it for the analysis, these steps are very important for creating a meaningful.
In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. In the end we will create and plot a simple Regression decision tree.
Section 4 - Simple Classification Tree
This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python
Section 5, 6 and 7 - Ensemble technique
In this section we will start our discussion about advanced ensemble techniques for Decision trees. Ensembles techniques are used to improve the stability and accuracy of machine learning algorithms. In this course we will discuss Random Forest, Baggind, Gradient Boosting, AdaBoost and XGBoost.
By the end of this course, your confidence in creating a Decision tree model in Python will soar. You'll have a thorough understanding of how to use Decision tree modelling to create predictive models and solve business problems.
Go ahead and click the enroll button, and I'll see you in lesson 1!
Cheers
Start-Tech Academy
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Below is a list of popular FAQs of students who want to start their Machine learning journey-
What is Machine Learning?
Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
What are the steps I should follow to be able to build a Machine Learning model?
You can divide your learning process into 4 parts:
Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part.
Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning model
Programming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in Python
Understanding of Linear Regression modelling - Having a good knowledge of Linear Regression gives you a solid understanding of how machine learning works. Even though Linear regression is the simplest technique of Machine learning, it is still the most popular one with fairly good prediction ability. Fifth and sixth section cover Linear regression topic end-to-end and with each theory lecture comes a corresponding practical lecture where we actually run each query with you.
Why use Python for data Machine Learning?
Understanding Python is one of the valuable skills needed for a career in Machine Learning.
Though it hasn’t always been, Python is the programming language of choice for data science. Here’s a brief history:
In 2016, it overtook R on Kaggle, the premier platform for data science competitions.
In 2017, it overtook R on KDNuggets’s annual poll of data scientists’ most used tools.
In 2018, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals.
Machine Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it’s nice to know that employment opportunities are abundant (and growing) as well.
What is the difference between Data Mining, Machine Learning, and Deep Learning?
Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions.
Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning.
Who this course is for:
People pursuing a career in data science
Working Professionals beginning their Data journey
Statisticians needing more practical experience
Anyone curious to master Decision Tree technique from Beginner to Advanced in short span of time Less
Have you ever wanted to create your very own Linux... More kernel module and start writing kernel code?
Well this step by step course is designed to teach you just that, we start off by installing all the dependencies we need, then we create the simplest kernel module we can a "Hello World" module that just prints "Hello World" from kernel space.
Finally we create a character device module that allows user programs to send data to us and read data from us. Think "/dev/random"
During the time I taught myself all of this many times I found articles from 2004 and they were outdated, this makes kernel development very difficult but I learnt a trick to make it all easier which I share in this course.
This course is designed to clear up all the misconceptions every detail of what we are doing is explained in depth and nothing is left out
Taught by an expert that that has created kernel modules professionally in the work place. Primarily virtual file system modules
Who this course is for:
Beginner Kernel Developers Less
If you want to be fluent in English and sound nati... Moreve, you need to know phrasal verbs well.
There's a ton of information on them, but it's all in tiny pieces spread across grammar books, dictionaries, and various websites.
I spent a year putting this information together and building this course to make phrasal verbs as easy to understand as physically possible. By taking this course you'll save tons of time and the frustration involved in digging for bits and pieces of necessary information.
This course breaks down what phrasal verbs are, why they matter, what kinds of phrasal verbs exist, and what is the best way to learn them.
You will learn 10 of the 1.5% most common phrasal verbs in the English language: what they are, which of their meanings are the most/least common (with the % of their usage and examples), and a variety of exercises to help you cement them in your memory.
This course will give you the NECESSARY knowledge to transform your "good English" into "native English" - as long as you follow all recommendations and do all the exercises provided.
Note that the theoretical part (video) of the course is 40 minutes long, but the activities section is expected to take 5-6 hours. This is because I have created custom exercises for you to practice what is taught in the video.
Who this course is for:
Pre-Intermediate (or higher) English learners who want to think and speak more naturally.
Students trying to write better university papers in English.
People that have/are looking for a job that requires English.
People who deal with English on a daily basis.
People that know that their English is not perfect and there’s space for improvement.
People that know that their English is almost perfect and there’s a tiny bit of space for improvement. ;)
People that struggle to understand native speakers. Less
The growth in the technological field is exponenti... Moreal. Day by day, the IT sector is flourishing to a greater extent. With such rapid growth, the need for security is also increasing. People have started becoming concerned about their privacy. Cybersecurity issues are becoming a day-to-day struggle for businesses. Recent trends and cyber security statistics reveal a huge increase in hacked and breached data from sources that are common in the workplace. With these growing trends, every individual must be aware of security and that is why you should go for this course!
Most of the people are often confused when they are asked - “WHAT IS CYBER SECURITY?” The most common reply is - “UM, HACKING. ” Well, hacking is part of cyber security but it really doesn’t mean that hacking is the synonym of cyber security. Many courses out there are only focusing on the practical approach of cyber security - HACKING. Well, hacking is not the only domain of cyber security. There are other domains also, for example Incident Response Team, Blue team, Security Audits, IT Security Management, Security laws and many more. In order to start practicing hacking, you should first know the concepts! You should understand how the world is dealing with cyber threats. HACKING is not the only “coolest” thing here. There are other security topics as well.
!!!! Hackers attack every 39 seconds, on average 2,244 times a day. !!!!
So are you sure that your data is well protected from these hackers? Have you even configured your network to maintain your privacy? Do you know how hackers can gain access to your devices without you even getting notified? Well, don’t worry! We are here to answer these questions. There might be many questions in your mind regarding this course. We will surely address all of them once you enroll for this course, but for the time being, we’ll focus on the following questions:
WHY SHOULD I LEARN CYBER SECURITY?
Let’s face it. We live in a digital world. Our work lives, personal lives, and finances have all begun gravitating toward the world of the internet, mobile computing, and electronic media. Unfortunately, this widespread phenomenon makes us more vulnerable than ever to malicious attacks, invasions of privacy, fraud, and other such frightening cases. That’s why cyber security is such a vital part of a secure and well-ordered digital world. Cybersecurity keeps us safe from hackers, cyber criminals, and other agents of fraud.
But let me ask you a question,
HOW GOOD IS YOUR KNOWLEDGE ABOUT CYBER SECURITY?
Here are some facts that would blow up your mind!
According to Varonis, Worldwide spending on cyber security is forecasted to reach $133.7 billion in 2022.
Data breaches exposed 4.1 billion records in the first half of 2019.
Symantec says, the top malicious email attachment types are .doc and .dot which make up 37%, the next highest is .exe at 19.5%
These are not just facts but they are warnings! Everyone who is accessing a device should be aware of their security and that is why we have designed this course. Okay, here comes the next question.
UM, OKAY! BUT WHY SHOULD I ENROLL FOR THIS COURSE?
The perfect answer to this question would be - Have a look at our curriculum. THE FUNDAMENTALS OF CYBER SECURITY, is the first part of our CYBER SECURITY SPECIALIZATION. In this course, we have covered right from the basics of computer networking to the advance concepts such as cryptography, security auditing, incident management. Yes, we have actually started from the definition of a Computer Network. Our course is broadly divided into seven sections. In the first section we have covered the basics of networking. We have discussed different protocols and their usage. We have talked about IP addresses and their classes and a lot of things which are important from the point of view of cyber security.
Bonus Material - We have included practicals also!
From the second section we are actually talking about cyber security. Right from the history of cyber security to different terminologies have been discussed in this section. We have designed the curriculum in such a way that even a novice can understand cyber security and we are so sure that this course would actually give a better idea of cyber security. You will learn about critical thinking and its importance to pursue a career in Cyber security. You will also learn about organizations and resources to further research cyber security issues in the Modern era. This course is intended for anyone who wants to gain a basic understanding of Cyber security or as the first course in a series of courses to acquire the skills to work in the Cybersecurity field as a Jr Cybersecurity Analyst.
We recommend you to watch our introductory video where we have discussed the entire syllabus :) Have a look at few highlights from our course.
Handpicked curriculum, specially designed for all levels of learners.
Continuous assessment through challenging quizzes
Get your questions answered within 48 hours
A variety of resources such as useful links, books, PDFs are also provided
Regular updates related to cyber security
Exploration of different aspects of Cybersecurity
Practicals are also included along with theory
You will understand how cryptography works in real life
Concepts such as firewalls, antivirus, cyber attacks are also discussed and Many more.
We encourage suggestions
WHO CAN ENROLL FOR THIS COURSE?
This course is not intended for a specific group of people. Anyone who wants to learn about cyber security can enroll for this course. If you already know about security, you can always revisit the ideas and clear your doubts if you have any. We have not only covered the technical topics but also included all the statistics as well. For example we have discussed the scope of cyber security along with the career insights and also the salaries of different job roles in this field. This course will help you to decide whether you want to become a Penetration tester or security auditor or Red Team Specialist.
In short, this is the perfect course if you want to kick start your career in cyber security!
BOTTOM LINE -
Once you move ahead in this course, you will get a clear idea about cyber sec. The way we have put all the things together helps the learner in creating an interest in this field. We would like to assure one thing to you - THIS COURSE WILL LITERALLY TELL YOU EVERYTHING ABOUT CYBER SECURITY.
Happy Learning! Less
Flask is a micro web framework written in Python. ... MoreIt is micro framework because it does not require dozens of tools and library. you can customize flask as you want with the help of flask and get creative with it.
What will you learn?
You will Learn about Back End Web Developed
Flask Models
Sqlalchemy
Sqllite
Python Advanced
Databases
Flask Login
Login System
Full CRUD functioning db
Why Flask?
Flask Make it easy to use and good for python beginners.
it is best if you want to make project light weight
Why this Course
we will be making 2 different projects and 1 to work as assignment
to do list app
full blogging web app with login
Project: Library Management System
Who this course is for:
Web Developers
Beginners curious for python
Beginners curious for python web development
Beginners curious for python flask
Beginners curious for python web frameworks Less
Description
This short course is designed to begi... Morenners having little idea of web applications and is based on a boilerplate project created by Angular 7 CLI. It introduces the versions of AngularJS to Angular2+. It also demonstrates the installation process to the first run of the app. Next, it tries to explain the folder structure and code from file to file.
Who this course is for:
Beginner in Angular and Node js from Hindi/Urdu speaking background Less
Firebase ML Kit for Android Developer's
Make yo... Moreur Android Applications smart, use trained model or train your own models explore the power of AI and Machine Learning.
This course was recorded using Android Studio 3.6.1 (which is a great introduction to the development environment!) For a smooth experience I'd recommend you use the same, but students can still use the latest Android Studio version available if they prefer!
Wish you’d thought of Object Recognition/Face Detection/Text Recognition?
Me too.
But until I work out how to build a time machine.
Here’s the next best thing.
Firebase ML Kit for Android Developer's
Why choose me?
My name’s Hamza Asif, Udemy’s coding instructor.
It's not my first on mobile Machine Leaning. I have a course named "Machine Learning for Android Developer using Tensorflow lite" on udemy.
So which course you should take?
It's recommended taking "Machine Learning for Android Developer using Tensorflow lite" first so that you can understand the working of Machine Learning.
If you want to learn a practical implementation and use of Machine Learning in Android then that course is for you.
This is my 2nd course on Android Machine Learning and I am the only udemy instructor with more than one course on that topic. My goal is to promote the use of Machine Learning in Android and I am excited to share my knowledge with you.
Android Version we will use?
Android Pie, Android Q
All the Android Application we will develop in this course we will use Android Pie and Q to test them. So we are\
So join my Firebase ML Kit for Android Developer's course today and here’s what you’ll get
Learn practical implementation of Text Recognition, Language Identification, Face and expression detection, Barcode scanning, Landmark Recognition, Text Translation, and Object detection and recognition.
With Auto ML learn how to train the model on your own dataset and use those models in Android Application
Learn about both on-device and Cloud Machine Learning
Why take this course?
Machine Learning use is at its peak so is the mobile tech but people having skills to implement both are rare. This course will enable you to empower your Android Application with the practical implementation of Machine Learning, Computer Vision and AI.
Having a little knowledge of Android Development, this course will differentiate you from other developers because you will have something that is currently in demand.
This course will make provide you a smooth path to become a pro in using Machine Learning in your Applications.
This course will not just enable you to apply machine learning in limited scenarios but It will enable you to
Prepare or download your own dataset
Train machine learning model
Develop Android Application
So if you have very basic knowledge of Android Development and want to apply Machine Learning in Android Applications without knowing background knowledge of Machine Learning this course is or you.
Is this course for you?
This is a one-size-fits-all course for beginners to experts. So, this course is for you if you are:
A total beginner, with a curious mind and a drive to make and create awesome stuff using App development and ML
A fledgling developer, want to add Machine Learning implementation in his skillset
A pro app developer-heavyweight, with an itch to build your dream app
An entrepreneur with big ideas
Benefits to you
Risk-free! 30-day money-back guarantee
Freedom to work from anywhere (beach, coffee shop, airport – anywhere with Wi-Fi)
Potential to work with forward-thinking companies (from cool start-ups to pioneering tech firms)
Rocket-fuelled job opportunities and powered-up career prospects
A sense of accomplishment as you build amazing things
Make any Android app you like (your imagination is your only limit)
Submit your apps to Google Play and potentially start selling within hours
Thanks for getting this far. I appreciate your time! I also hope you’re as excited to get started as I am to share the latest use of ML in Android development with you.
All that remains to be said, is this…
Don’t wait another moment. The world is moving fast. And I know you’ve got ideas worth sharing.
Coding really can help you achieve your dreams.
So click the button to sign up today – completely risk-free.
And join me on this trailblazing adventure, today.
Who this course is for:
Anyone who wants to learn the practical implementation of Machine Learning and Computer Vision in their Android Applications.
Anyone who wants to make their Application smart.
Anyone who wants to train and deploy Machine Learning models on his own data without background knowledge of Machine Learning. Less
This comprehensive course will be your guide to le... Morearning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!
This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!
This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost!
Enroll in the course and become a data scientist today! Less
This course intends to help you in your understand... Moreing of using Microsoft Excel. After taking the course you will be confident to us the tool in your everyday life. The knowledge of Excel improves efficiency in the workplace you can gain mastery over crucial Microsoft Excel tools and functions that will enhance efficiency and accelerate performance.
You will learn all about formulas and functions in Microsoft Excel. You will learn how to manipulate both numbers and text. You will be able to create charts so you can share the information graphically to your clients and colleagues.
Who this course is for:
Anyone who wants to move ahead in life Less
CSS Grid is a relatively new and unused concept to... More CSS. It's very important these days that our layouts are simple to maintain, and easy to adjust based on the dimensions of our device. CSS grid simplifies this process over other existing strategies.
In this course we take you deep into how to build a variety of different layouts in CSS Grid. We cover the following:-
All the properties in CSS Grid, how they work, and any gotchas that you may not be aware of when using them.
Alignment and how it works in CSS Grid, including the alignment of tracks and grid items at the grid container level. We also show you how to override alignment at the grid item level.
The basics of responsive web design, such as media queries and how they work with mobile / tablet etc.
Grid areas and how it helps simplify responsive web design
The concept of implicit and explicit grids and what the differences are
A deep look into the Autoplacement algorithm
Animation at a high level and what works currently with CSS Grid
How to convert some layouts in Flexbox to use CSS Grid instead
When to use Flexbox over CSS Grid
Once we cover all of these concepts, we then go about showing you some basic layout problems and how they can be solved. This includes:-
Column based layout
Basic Sidebar layout
Vertical Text alignment
Modal alignment
Stick footer layout
Formatting form fields
And hopefully in future much more. We then look at some advance layout topics such as:-
The Holygrail layout
The Media Objects layout
A Viewport Friendly Image Gallery
A Responsive Image Gallery
An Animated Sidebar
A Monthly Calendar layout
A Newspaper Cover layout
A Responsive Twitter Clone Layout
A Responsive Movie Gallery
Then if you haven't had enough, we have 3 real life application examples that will give you the experience you need. They are:-
A Chat UI interface
An Uber Eats Clone Responsive Application
A YouTube Clone Responsive Application
Who this course is for:
Web Developers
Web Designers
User Experience Designers
Front End Developers
Full Stack Developers Less
Flask is a popular Python web framework. The tutor... Moreials in this section are intermediate to advanced tutorials that cover key aspects of Flask development.
*Flask Framework:
Flask Web Framework, In this course, you will learn the fundamentals of web applications .so that you can start building API and develop web applications using Python Flask Web Framework.
How to build Python web apps with Flask
How to use the Jinja template language to create the look of your apps
How to use the SQLite database to start development
How to use other databases with Flask by using Flask-SQLAlchemy
Using Flask to process incoming request data.
Course Overview
Flask Framework - URL Building
Flask Framework - HTTP Method
Flask Framework - Templates
Flask Framework - Static Files
Flask Framework - Request Object
Flask - Request.from Object
Flask Framework - Cookies
Flask Framework - Session Object
And More... Less
Explore more about using Flexbox with examples and... More sample code to get you coding.
Flexbox is a one-dimensional layout method for laying out items in rows or columns. Items flex to fill additional space and shrink to fit into smaller spaces
Please note that the scope of this course using CSS Flexbox. If you are looking for a more detailed CSS course this course is not for you. Simple course with limited scope designed to be topic specific.
Taught by an instructor with over 20 years of Web Development experience.
If you've been looking to get started with CSS Flexbox - THIS COURSE IS FOR YOU!!!!
Nothing to lose - Fast friendly support is always available to help if you need it.
Please note that the SCOPE OF THIS COURSE IS Creating and using CSS flexbox and will not cover complex commands and everything about CSS, HOW TO GET STARTED COURSE - if you are looking at more detailed node or JavaScript content this is not for you.
Who this course is for:
Web developers
Web designers
Anyone who is building a website
Webmasters and web coders creating web content Less
This is an advanced level course on Arduino. This ... Morecourse is designed for advanced makers. We’ll help you to get started with the basics of creating circuits with the Arduino and Arduino Mega prototyping board. We will show how a Raspberry Pi and Arduino can communicate with each other. By the end of this course, you would have built Security Systems and Access Control with Arduino using Keypad 4x4 and an Employee entry system using Arduino and RFID sensor.
The prerequisite for this course is a basic understanding of electrical and electronic concepts and ability to download and install software on your computer. Along the way, you will learn about programming, sensors, and communications.
The course split into three parts:
Project 1: In this project, we will teach you how to communicate a message from the Arduino to the Raspberry Pi and vice-versa using a USB serial cable.
Project 2: In this project, we teach you how to build an employee entry system using Arduino and RFID sensor module. This project is designed to record the employee details, date and time in PLX-DAQ Spreadsheet to monitor the time and date of entry and exit.
Project 3: This is a security related project. We’ll show you how to make a keypad combination lock. In the project, keypad security system and access control with Arduino can change the combination without reprogramming the Arduino.
If learning by making sounds like the way to go, then this course is for you!
RFID tags are used for everything from credit cards and passports to inventory control and door locks. Everyone should know more than a thing or two about them. With this course, you'll be able to learn how to read, "spoof" and use RFID in both standard and creative ways. Their ubiquitous nature and how little an average citizen knows about them also makes for great science fair and educational projects.
To explain RFID, we can use a key and lock analogy. Instead, of the key having a unique pattern, RFID keys hold a series of unique numbers that are read by the lock. It is up to our Arduino sketch to determine what happens when the lock reads the number. The key is the tag, card or another small device we carry around or have in our life. We will be using a passive key, which is an integrated circuit and a small aerial. It uses power from a magnetic field associated with the sensor.
If you are a technology enthusiast and want to learn the cutting-edge technology, then this is the right course for you.
I will teach you step by step how to go about building this project. I will also share the code with you so that you can replicate the project yourself.
At the end of the course, you'll be fully familiarized with Arduino and ready to build your electronic security system. I look forward to you joining this course. It provides the complete source code of the real time project.
What are you waiting for? Enroll now!
Who this course is for:
People who want to try Arduino and learn about microcontrollers
Makers who have an existing intermediate or better understanding of electronics
Individuals wanting to learn more about RFID applications
Create a strict security system by identifying employees and/or clients, or implement anti-theft devices
Engineering Students - Electronics, Electrical & Computer Science
Electronic Geeks, Hobbiest & Art Students
High School Science Students Less
You're looking for a complete Support Vector Machi... Morenes course that teaches you everything you need to create a SVM model in R, right?
You've found the right Support Vector Machines techniques course!
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course.
If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the advanced technique of machine learning, which are Support Vector Machines.
Why should you choose this course?
This course covers all the steps that one should take while solving a business problem through SVM.
Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course
We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones:
This is very good, i love the fact the all explanation given can be understood by a layman - Joshua
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Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
Download Practice files, take Quizzes, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.
Go ahead and click the enroll button, and I'll see you in lesson 1!
Cheers
Start-Tech Academy
Who this course is for:
People pursuing a career in data science
Working Professionals beginning their Data journey
Statisticians needing more practical experience
Anyone curious to master SVM technique from Beginner to Advanced in short span of time Less
If you would like to get started as a front-end we... Moreb developer, you are going to LOVE this course! Work on projects ranging from a simple HTML page to a complete JavaScript based Google Chrome extension. We will cover the following technologies in this course:
Web development basics with HTML
Cascading Style Sheets (CSS)
JavaScript programming
jQuery JavaScript library
Bootstrap framework
We will work on 3 class projects throughout this course:
Simple text site - We will use what we learned in the HTML sections to create a simple text site. This project will help you learn HTML structure and the essential elements.
Fallout inspired Pip-Boy - We will take what we learned in the CSS and Bootstrap sections of the course to code a Pip-Boy from the game Fallout. This project will help you learn the design elements of modern web development.
Google Chrome extension - We will finish the course by programming a JavaScript based Google Chrome extension. This project will help you understand the logical parts of web development.
This course covers the most popular web development frameworks, and will get you started on your path towards becoming a full-stack web developer!
Still not sold? Check out a few of the awesome reviews this course has received!
"Excellent Course! Highly Recommend It! Such a great hands on experience with this course."
"Very nice course, covers all the stuff you need, good voice and good explanation makes it perfect for people that are new to HTML. Also there's some best practices recommendations which are useful even for advanced developers."
"Excellence in giving the optimal set of tools for web development beginners seeking a well-rounded start for professional web development."
Thank you for taking the time to read this, and we hope to see you in the course!
Who this course is for:
Anyone who would like to learn front-end web development Less
Welcome to my new course: 'JavaScript + ES6 + ES7 ... More+ ES8 + ES9 -> The Complete Guide'.
This course starts from scratch, you neither need to know any pre-requisite programming knowledge nor any language expertise.
From the environment Setup to Development, this course covers almost each and every concept required to become an expert JavaScript developer.
Having a deep-dive of the concepts in this course, you'll learn all about:
JavaScript: Development Environment Setup
Fundamentals
Operators
Control Flow
Arrays
Functions
Objects
Prototypes
Patterns To Create Objects
Error Handling
Miscellaneous Objects
Debugging in Chrome
Shopping Cart Project: Putting All Together
ES6: Features with their Syntax
Modules
Class
Symbols
Iterators & Generators
Promises
Maps & Sets
Extensions of Built-in Objects
Reflect API
Proxy API
ES7: New Features
ES8: New Features
ES9: New Features
World Weather Project: Putting All Together
Course Roundup and many more...
This course will assist:
In becoming an proficient 'JavaScript Developer' and
Inclining towards the learning/ understanding of any client/ server side programming language.
Why JavaScript?
JavaScript (JS) is a lightweight, interpreted or JIT compiled programming language with first-class functions. Most well-known as the scripting language for Web pages, many non-browser environments also use it, such as Node.js and Apache CouchDB. JS is a prototype-based, multi-paradigm, dynamic scripting language, supporting object-oriented, imperative, and declarative (e.g. functional programming) styles.
The standard for JavaScript is ECMAScript. As of 2012, all modern browsers fully support ECMAScript 5.1. Older browsers support at least ECMAScript 3. On June 17, 2015, ECMA International published the 6th major version of ECMAScript, ECMAScript 2015. Since then, ECMAScript standards are on yearly release cycles. This course covers up to the latest version of JavaScript, which is currently ECMAScript 2019.
Why we should learn JavaScript & the reasons are:
Open Source Language: Freely Available.
Much more than Scripting programming language.
Scalability and Performance Features.
Evolving steadily & ES6 represents the BEST !!!
Much JavaScript-related innovation in the Market.
Base of most of the frameworks like Angular.
Supported by a broad coalition of companies.
Who this course is for:
Be a JS Ninja by understanding the most popular programming language in the world viz. JavaScript.
Newcomer as well as experienced having the experience with JavaScript (ES5/ ES6) and know the basics of the language.
Understanding the new Features and Additions, brought by ES6 (including ES5) to JavaScript.
Understand the basics to move head with the popular libraries/frameworks like jQuery, React, Angular or NodeJS.
Understand how JavaScript actually works internally. Less
Build your essential knowledge with this hands-on,... More introductory course on the Java parallel computation using the popular Hadoop framework:
- Getting Started with Hadoop
- HDFS working mechanism
- MapReduce working mecahnism
- An anatomy of the Hadoop cluster
- Hadoop VM in pseudo-distributed mode
- Hadoop VM in distributed mode
- Elaborated examples in using MapReduce
Learn the Widely-Used Hadoop Framework
Apache Hadoop is an open-source software framework for storage and large-scale processing of data-sets on clusters of commodity hardware. Hadoop is an Apache top-level project being built and used by a global community of contributors and users. It is licensed under the Apache License 2.0.
All the modules in Hadoop are designed with a fundamental assumption that hardware failures (of individual machines, or racks of machines) are common and thus should be automatically handled in software by the framework. Apache Hadoop's MapReduce and HDFS components originally derived respectively from Google's MapReduce and Google File System (GFS) papers.
Who are using Hadoop for data-driven applications?
You will be surprised to know that many companies have adopted to use Hadoop already. Companies like Alibaba, Ebay, Facebook, LinkedIn, Yahoo! is using this proven technology to harvest its data, discover insights and empower their different applications!
Contents and Overview
As a software developer, you might have encountered the situation that your program takes too much time to run against large amount of data. If you are looking for a way to scale out your data processing, this is the course designed for you. This course is designed to build your knowledge and use of Hadoop framework through modules covering the following:
- Background about parallel computation
- Limitations of parallel computation before Hadoop
- Problems solved by Hadoop
- Core projects under Hadoop - HDFS and MapReduce
- How HDFS works
- How MapReduce works
- How a cluster works
- How to leverage the VM for Hadoop learning and testing
- How the starter program works
- How the data sorting works
- How the pattern searching
- How the word co-occurrence
- How the inverted index works
- How the data aggregation works
- All the examples are blended with full source code and elaborations
Come and join us! With this structured course, you can learn this prevalent technology in handling Big Data.
Who this course is for:
IT Practitioners
Software Developers
Software Architects
Programmers
Data Analysts
Data Scientists Less
Hi everyone :)
Having you stop here simply mean... Mores you are either preparing for a core java interview or want to know the most widely asked questions in the room. This course is intended for you folks, perfectly.
The course basically aims at providing an in-depth explanation to most continuously asked questions through very engaging animated PPTs. Whether it's string, or exceptions, or multi-threading, I have got your back on most asked questions from these topics. The much important thing is the clear and concise clarity in explanations that you will get from this course.
Note: 1. The course is not intended for complete beginners! You need to have at least basic to intermediate knowledge of core java.
2. I will keep on adding brand new most asked questions regularly. So, this course is not just limited to a fixed number of questions!
Rest assured, you will enjoy this awesome Bootcamp with me.
See you in the course...
Over n Out :) Less
