Have you always wanted to learn programming but di... Moredn't know where to start ? Well now you are at the right place ! I created this python course to help everyone learn all the basics of this programming language. This course is really straight to the point and will give you all the notion about python. Also, the course is not that long so and the way the material is presented is very easy to assimilate. So if python is something that you are interested about, then you will definitely like this course.
Enjoy your learning :)
Who this course is for:
People interested to learn how to program in python
people curious about programming Less
In this course we will build two Chrome extensions and cover the following topics:
Introduction and Manifest
Messaging Different Parts of the Extension
Creating Share Popup
Building an Image Downloader
Interacting with the DOM
Uploading to the Google Chrome Web Store
Project source code is available on GitHub. All of the videos in this course are downloadable for offline viewing. English subtitles/captions are available within the course.
Thank you for taking the time to read this and we hope to see you in the course!
Who this course is for:
Web developers interested in publishing a Google Chrome Extension.
This course is a 100% HANDS ON course for Java Ent... Morehusiasts who want to use DOCKER To Build->Ship->Run Java Apps using Docker and want to learn thru 10+ real world hands on use cases. This course is optimized for the busy professional with real world use cases examples and problem solving. The student registering for the course should be able to dedicate time towards Hands on labs to get a clearer understanding on how to use docker.
Docker Version: 18.03.1-ce, JDK 8
Learn to build real world apps using Java and Docker with Microservices using the Spring framework, JQuery, Bootstrap and much more.... T
Apart from the theoretical aspect here are the HANDS ON LAB Exercises which will be covered
MICROSERVICES using Docker .
Build a Spring MVC and MYSQL RESTFUL MICROSERVICE, Scale a micro service with multiple containers
Build a Proxy Servlet, a filter with a Spring MVC app backed by MYSQL to load balance the requests between containers.
Learn what the real world problems are and how Docker attempts to solve real world use cases.
Learn to Run WEB Apps on Apache HTTP and NGINX Web servers in Docker as containers.
Learn to run Simple Java Programs developed using JDK8 using Docker
Create a sample Spring MVC Web App running with a bootstrap and JQUERY UI and run it using Docker
Learn about Docker machines and Docker compose
Upload your code to DOCKER HUB and share your Docker images for deployments with peers Less
Learn GraphQL from Scratch with MERN Stack (Mongo ... MoreExpress React Node) and Firebase to build Truly Realtime Web Apps.
So if you are looking to Build Lightning Fast Realtime Web Apps using GraphQL with MERN Stack, don't waste your valuable time wandering around and trying to learn it from 10 different resources.
I have packed everything into this course for you to fully understand all the practical GraphQL concepts... from basic to advance.
Ready to go FullStack GraphQL with Node React MongoDB Firebase Authentication CRUD Realtime Subscriptions Deployment and more
Join me :) Less
In this course, you will learn how to automate you... Morer legal documents using Documate. The McKinsey Global Institute found that 23% of a lawyer's job can be automated. Legal documents can be tedious and repetitive. However, with the right approach, you can automate the creation of legal documents.
Documate is one of the most powerful technologies to improve your legal practice. Attorneys that embrace document automation will enjoy tremendous benefits resulting from their new competitive advantage.
Get started automating your documents! Less
This course is designed to understand basic Concep... Moret of Machine Learning. Anyone can opt for this course. No prior understanding of Machine Learning is required. Data pre processing and Simple Linear Regression Concepts are covered in detail. Coding part is not covered, however wherever possible I have attached the code in the resources.
Now question is why this course?
This Course will not only teach you the basics of Machine learning and Simple Linear Regression. It will also cover in depth mathematical explanation of Cost function and use of Gradient Descent for Simple Linear Regression. Understanding these is must for a solid foundation before entering into Machine Learning World. This foundation will help you to understand all other algorithms and mathematics behind it. 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 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.
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
This course focuses on one of the main branches of... More 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 Less
Apache Kafka has become the leading distributed da... Moreta streaming enterprise big data technology. Kafka is used in production by over 33% of the Fortune 500 companies such as Netflix, Airbnb, Uber, Walmart, and LinkedIn.
To learn Kafka easily, step-by-step, you have come to the right place! No prior Kafka knowledge is required.
If you look at the documentation, you can see that Apache Kafka is not easy to learn...
Thanks to my several years of experience in Kafka and Big Data, I wanted to make learning Kafka accessible to everyone.
We'll take a step-by-step approach to learn all the fundamentals of Apache Kafka.
At the end of this course, you'll be productive and you'll know the following:
The Apache Kafka Ecosystem Architecture
The Kafka Core Concepts: Topics, Partitions, Brokers, Replicas, Producers, Consumers, and more!
Launch your own Kafka cluster in no time using native Kafka binaries – Windows / MacOS X / Linux
Learn and Practice using the Kafka Command Line Interface (CLI)
Code Producer and Consumers using the Java API
Real-world project using Twitter as a source of data for a producer and ElasticSearch as a sink for our consumer
Note: The hands-on section is based on Java, which is the native Kafka programming language. But, good news! Your learning in Java will be completely applicable to other programming languages, such as Python, C#, Node.js or Scala, and Big Data frameworks such as Spark, NiFi or Akka.
Who this course is for:
Developers who want to learn the Apache Kafka Fundamentals, start a cluster and write their first application
Architects who want to understand how Apache Kafka fits into their solution architecture
Anyone looking to learn the full theory of how Apache Kafka works as a distributed system Less
Would you like to get started as an ethical hacker... More? Do you want to become a professional penetration tester? Enroll now in The Complete Ethical Hacking Course and learn how to think like a hacker, and become familiar with the toolkit of a professional pentester. This course covers a wide range of topics relating to network security:
Introduction to ethical hacking
Scanning and enumeration
When you enroll in the course you will immediately receive access to 19+ hours of HD video tutorials, as well as additional supplemental resources for developing the necessary skills to succeed in the field. Learn by doing with demonstrations using popular pentesting tools such as Maltego, FOCA, Recon-ng, Nmap, masscan, tcpdump, Wireshark, Ettercap, Burp Suite, Scapy, Mimikatz, Hashcat, Konboot, Hydra, OWASP, SQLmap, mitmproxy, Skipfish and more!
Thank you for taking the time to read this, and we hope to see you in the course! Less
Learn the essentials you'll need to get started wi... Moreth AngularJS, a popular open-source web application framework maintained by Google. During this two-hour introductory course, your instructor will introduce you to the basics of AngularJS.The course is designed for individuals and web development professionals that need to understand the fundamentals of AngularJS.Learn about data binding, controllers and creating simple apps, along with additional ways to control the data of AngularJS applications with multiple rows of data and scope binding.
Who this course is for:
This course is for people who are new to Angular Less
If you want to learn ethical hacking the fun and e... Moreasy way like playing a computer game, then this course is for you. There exists on the Internet several websites which allows people to hack and learn hacking. These websites typically have different levels from easy to advanced. By hacking each level and gradually levelling up, you will learn hacking. Traditionally, ethical hacking is taught by installing virtual machines on your PC and hacking the virtual machines inside your PC. This way of learning hacking can be pretty boring as there are no challenges or rewards. Also it can be quite laggy unless you have a high end machine. In addition, some people find learning Linux and installing virtual machines too troublesome.
In this course, I will show you an alternative way, which is more fun and where you will enjoy the thrills of hacking real websites legally and solving each level and going from easy and gradually to more advanced levels - just like paying online games. The website we will be hacking is HackThisSite!! which is a popular hacker's playground where hackers play hacking games reminiscent of CTF (Capture the Flag) and learn at the same time. However, without some help and guidance you will find it quite challenging. Hence this course. I will walk through each level from Basic to Realistic
You do not need to go through the hassle of installing virtual machines or Linux on your computer. All you need is a PC. In this course I am only using a Windows PC to do hacking.
Great way to learn Web Development & Information Technology (IT):
Last, but not least, the site creators of HackThisSite encourage you to literally hack their site to explore the security of their site and they will reward those who responsibly disclose their exploit with an entry into the HackThisSite hall of fame.
This course is backed by a 30-day money back guarantee. So, go ahead and enroll in this course now and start hacking the fun and easy way!
Who this course is for:
Web developers who have no knowledge on hacking
Students who want to learn hacking the fun way by hacking real websites (legally)
Those who enjoy computer games and want to try hacking as a game Less
Learn Front End Web Development
Student reviews... More:
"This is great training for beginners and aspiring front end web developers this is simple yet very very informative"
-Leynard Caballero Villagracia
"I think it is a great course for the beginning level."
"Great course and perfect explanation specially for beginners."
"Easy to understand for beginners..."
"Yeah, it's been a good match for me definitely. The content and the way of teaching by the mentors is very effective and efficient. Any one can begin with building web pages, taking up this certain course"
Not sure yet? Just scroll down and watch the free preview lectures!
Enroll with confidence! Your enrollment is backed by Udemy's 30-day, no-questions-asked, money-back guarantee!
What are the requirements?
· All information and resources are included in this course.
What am I going to get from this course?
· Learn how to hand code HTML and CSS
· Work with Bootstrap 4
· Build 2 great projects to get you started on your Front End Web Development education
What is the target audience?
· Anyone who wants to dramatically increase their Front End Web Development Skills! Less
You're looking for a complete Linear Regression co... Moreurse that teaches you everything you need to create a Linear Regression model in R, right?
You've found the right Linear Regression course!
After completing this course you will be able to:
· Identify the business problem which can be solved using linear regression technique of Machine Learning.
· Create a linear regression model in R and analyze its result.
· Confidently practice, discuss and understand Machine Learning concepts
A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.
How this course will help you?
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 the most popular technique of machine learning, which is Linear Regression
Why should you choose this course?
This course covers all the steps that one should take while solving a business problem through linear regression.
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
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 Linear Regression model, which is the most popular Machine Learning model, to solve business problems.
Below are the course contents of this course on Linear Regression:
· Section 1 - Basics of Statistics
This section is divided into five different lectures starting from types of data then types of statistics
then graphical representations to describe the data and then a lecture on measures of center like mean
median and mode and lastly measures of dispersion like range and standard deviation
· Section 2 - R basic
This section will help you set up the R and R studio on your system and it'll teach you how to perform some basic operations in R.
· Section 3 - 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 4 - Data Preprocessing
In this section you will learn what actions you need to take a step by step to get the data and then
prepare it for the analysis these steps are very important.
We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment, missing value imputation, variable transformation and correlation.
· Section 5 - Regression Model
This section starts with simple linear regression and then covers multiple linear regression.
We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don't understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures. We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results, what are other variations to the ordinary least squared method and how do we finally interpret the result to find out the answer to a business problem.
By the end of this course, your confidence in creating a regression model in R will soar. You'll have a thorough understanding of how to use regression modelling to create predictive models and solve business problems.
Go ahead and click the enroll button, and I'll see you in lesson 1!
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 is the Linear regression technique of Machine learning?
Linear Regression is a simple machine learning model for regression problems, i.e., when the target variable is a real value.
Linear regression is a linear model, e.g. a model that assumes a linear relationship between the input variables (x) and the single output variable (y). More specifically, that y can be calculated from a linear combination of the input variables (x).
When there is a single input variable (x), the method is referred to as simple linear regression.
When there are multiple input variables, the method is known as multiple linear regression.
Why learn Linear regression technique of Machine learning?
There are four reasons to learn Linear regression technique of Machine learning:
1. Linear Regression is the most popular machine learning technique
2. Linear Regression has fairly good prediction accuracy
3. Linear Regression is simple to implement and easy to interpret
4. It gives you a firm base to start learning other advanced techniques of Machine Learning
How much time does it take to learn Linear regression technique of machine learning?
Linear Regression is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn Linear regression starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to remember whatever you have learnt. Therefore, we have also provided you with another data set to work on as a separate project of Linear regression.
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 R 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 R
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 in R where we actually run each query with you.
Why use R for data Machine Learning?
Understanding R is one of the valuable skills needed for a career in Machine Learning. Below are some reasons why you should learn Machine learning in R
1. It’s a popular language for Machine Learning at top tech firms. Almost all of them hire data scientists who use R. Facebook, for example, uses R to do behavioral analysis with user post data. Google uses R to assess ad effectiveness and make economic forecasts. And by the way, it’s not just tech firms: R is in use at analysis and consulting firms, banks and other financial institutions, academic institutions and research labs, and pretty much everywhere else data needs analyzing and visualizing.
2. Learning the data science basics is arguably easier in R. R has a big advantage: it was designed specifically with data manipulation and analysis in mind.
3. Amazing packages that make your life easier. Because R was designed with statistical analysis in mind, it has a fantastic ecosystem of packages and other resources that are great for data science.
4. Robust, growing community of data scientists and statisticians. As the field of data science has exploded, R has exploded with it, becoming one of the fastest-growing languages in the world (as measured by StackOverflow). That means it’s easy to find answers to questions and community guidance as you work your way through projects in R.
5. Put another tool in your toolkit. No one language is going to be the right tool for every job. Adding R to your repertoire will make some projects easier – and of course, it’ll also make you a more flexible and marketable employee when you’re looking for jobs in data science.
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 Linear Regression from beginner to advanced in short span of time 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
SO, YOU’RE LOOKING FOR A COURSE THAT WILL TEACH ... MoreYOU NEXT.JS QUICKLY & IN A FUN MANNER?
I’ve got just the course for you!
Welcome, my name is Josh Werner with Learn Tech Plus and I’ve put this course together to help people just like you quickly master Next.js...Whether you’re a beginner or experienced with Next.js!
If your goal is to become a master of Next.js, then this course is perfect for you. It will get you started on the right path and give you the knowledge and skills you need to master Next.js...
Learning Next.js is Not only for Experienced users, but also everyone else. Because when you have mastered Next.js, you can get around Next.js quickly and increase your productivity!
In short, a good understanding of Next.js is tremendously beneficial.
Now, in this course, we'll go far beyond that. By the end of it, you'll have gained complete proficiency in Next.js even if you're currently a complete beginner!
THAT’S RIGHT...NO PRIOR EXPERIENCE OR KNOWLEDGE IS REQUIRED!
You don’t need any previous experience or knowledge to take this course. In fact, all you need is a desire to learn and master Next.js.
This is not one of those courses that will throw too much at you at once and cause you to get overwhelmed. This is a course that you’ll not only learn so much from, but also enjoy the journey as you’re learning (which is a very important part of the learning process)
The course will take you by the hand and teach you everything you need to know step by step and even put your knowledge to practice immediately by showing you how to setup an account with Next.js and How to use Next.js.
On top of this, you will also get my continuous support as well to make sure you’re successful with my course.
LEARN NEXT.JS BY DOING! (LEARN NEXT.JS FROM SCRATCH!)
We will go step by step and cover Next.js. The goal here is to help you
A) Setup a Free Account with Next.js
B) Work with Next.js
Here’s what we’ll cover in the course:
1. We’ll start from the very beginning and explain what Next.js is, why & how it’s used.
2. Introduce you to Next.js 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