Another Vue.js 3 from zero to hero course - kind of. This course is for developers who want to move fast. We cover the traditional way of building Vue apps - the Options API - as well as the the new Composition API, and even see how you can mix and match them together.
There are 8 modules; 4 introduce fundamental skills (Options API; Composition API; Vuex and Vue Router). Every other module is a project, so you can see how to apply the fundamental skills in real apps. I am a big believer in learning by doing.
After covering Vue; we look at Vuex, Vue's state management solution, and Vue Router, for front-end routing. The course culminates with a capstone project, using the Vue trunity (Vue, Vuex, Vue Router) to build an application.
Although this course is for beginners, the knowled... Morege it provides is really advanced.
It is full of tips and tricks as well as tested methods that will make you an expert in digital marketing and online advertising.
Its curiculim includes:
Each section of the course is a step by step guide that not only gives you usefull instructions about the topic it addresses but also tried methods that you can easily use to bring profits to your business and to be a successful digital marketing professional. Less
Programming can sometimes be very hard to learn es... Morepecially if you have no experience in this field. But, this course have everything that you need to be able to start your programming career or improve your programming skills by learning all the basis of python. If you :
- Are in school and want to learn how to program in python
- Need to learn this programming language for work
- Want to start a personal project that requires you to have programming knowledge
- simply want to learn a new skill
Then you will love this course. Not only you will have by the end of the course a very solid base of this programming language but you will also be able create small and simple application right after the course.
The structure of the course
The way the course is made is really done to help you learn all the basics of this programming language. From installing your text editor to writing your first lines of code to create your small apps everything is structured to help you achieve your goal of learning how to program in python. This course is also teach many python functions and formulas and give a complete understanding of those. The goal is really to help you have a complete understanding of this programming language. Indeed, the hardest part is not to learn the language but to think like a programmer and this is exactly what this course is going to teach you.
Also, this course has been built on a concept of learning by practice. In other words, in each class you will learn the theory about every concept and then you will have a lot of practice to help you reach your full potential and give you a better understanding of the topic. This way, by practicing you will be able to write lines of code by yourself and understand the logic behind each command that you write down.
For who is this course designed
There are many python courses out there, but this one is different. Indeed, this python course will teach you by example all the basics of this programming language. Also, since this course is an introduction it can be great for people who have never worked with python before. Indeed, even if you never programmed in your life this course will give you a solid basis about how to properly work with python. The goal of this course is teaching you how to think like a programmer and create small and basics python projects.
Why should I take this course
If you want to learn programming then you should definitely take the course. Not only you will have created a lot of small apps by the end of it you will also have a very good knowledge of different python concepts. Also you will understand the logic behind this programming language as well as many of it's functions.
There is no risk involved in taking this course
This course comes with a 100% satisfaction guarantee, this means that if your are not happy with what you have learned, you have 30 days to get a complete refund with no questions asked. Also, if there is any concept that you find complicated or you are just not able to understand, you can directly contact me and it will be my pleasure to support you in your learning.
This means that you can either learn amazing skills that can be very useful in your professional or everyday life or you can simply try the course and if you don't like it for any reason ask for a refund.
You can't lose with this type of offer !!
ENROLL NOW and start learning today 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
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!
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
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
The concept of Artificial Intelligence is used in ... Moresci-fiction movies to describe a virtual entity that crossed some critical threshold point and developed self-awareness. And like any good Hollywood movie, this entity will turn against humankind. OMG! It’s a great concept to fuel our basic survival fear.
As you may guess, things, in reality, are completely different. Artificial Intelligence is one of the biggest revolutions in the software industry. It is a mind-shift on how to develop software applications. Instead of using hard-coded rules for performing something, we let the machines learn things from data, decipher the complex patterns automatically and then use it for multiple use cases.
Who this course is for:
Anyone Interested to learn Machine Learning 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
Your download will start automatica... Morelly, or you can manually download from the link below.
The download link for InvoiceZilla PRO is provided to you above. Your license key for InvoiceZilla PRO is also given above. Download and install InvoiceZilla PRO. After install, run InvoiceZilla PRO and register it with your license key. You can register it by going to ACTIVATION from within the main program window. Enjoy!
Be sure to leave a nice comment if you like this offer or ask for help if you have any trouble. Less
Python is one of the most used programming languag... Moree in the world and its significance can't be ignored. Python has gained immense popularity recently owing to its performance in various fields like machine learning, data science, data analytics and cyber security. This course is designed in python to make ethical hacking easier for students since python is one of the most easy programming languages to learn. The concepts used in this course are fairly simple and anyone with some knowledge of computer science can try this course.
In this course we will learn following topics:
Introduction to basics of computer networks
What is hacking
How to stay anonymous
Learn how to track IP location
Create your own undetectable malware
Execute system commands on the victim machine using backdoor
Download and upload files to victim machine
How to create a Trojan
How to steal wifi passwords stored on the PC
How to intercept, manipulate and craft network packets
How to perform man in the middle attack
Crack password protected zipped files
Build your own undetectable key logger
Create a botnet with a command and control center
How to protect yourself online 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
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
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
Welcome to the Complete Network Fundamentals Cours... Moree! In this course, you will learn the technologies that keep the world as you know today connected and running. We cover both the fundamentals of networking as well as the topics in the new Cisco CCNA 200-301 exam.
Networks are all around us and you are using one right now to access this course.
Imagine for a moment, how different your life would be without access to Facebook, Snapchat, Google, YouTube, Whatsapp or any of the other websites on the Internet? How would you live with no Internet?
The Internet is extremely important in modern life today and all websites and Internet communication relies on networking. This reliance is only predicted to continue with the growth of the Internet of Things (IoT) in the next few years.
Without routers, switches, network cabling and protocols like BGP there would be no Internet!
This course will teach you how networks actually work and how you are able to connect to websites like Facebook, Google, and YouTube.
Companies throughout the world (from the smallest to the largest) rely on networks designed, installed and maintained by networking engineers. Join this in demand industry!
Start your journey today learning about networking.
Content in this course can be used towards your CCNA. Topics such as IP addressing, subnetting and many others can be applied directly to passing your CCNA certification.
Access our online simulations so you can practice on simulated Cisco routers and switches. You will get to type commands such as enable, configure terminal, router ospf and many others and learn how to configure devices.
Who this course is for:
Anyone wanting to learn about networking
If you want to start your journey to CCNA Less
Looking to Build Lightning Fast Realtime Web Apps ... Moreusing GraphQL with MERN Stack?
This course is your starting point to be able to build Modern Web Apps for present and future. Get started with very easy to follow lectures to make yourself comfortable with GraphQL and learn how you can combine it with Node and MongoDB to build GraphQL Server and also learn to combine with React to build GraphQL Client. 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