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 already got some experience in the C prog... Moreramming language but want to take it further? Then this course is for you.
This course will teach you all about creating internal data structures in C.
This course will teach you how to create the following:
Linked List Implementation
Double Linked List Implementation
Array List Implementation
Binary Tree Implementation
All of the implementations described above will be created on video from scratch! You will learn how all of these work internally and when they should be used. This course is a "must have" for someone who has learned the fundamentals of the C Programming Language
Who this course is for:
C programmers who want to learn how to develop data structures in their applications 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
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
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
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:
User Experience Designers
Front End Developers
Full Stack Developers 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
Best way to learn new skill is learning by practic... Moree. Welcome to the "Master MERN Stack by Building Complete Blog Project" where we will be building complete blog application using MERN Stack (Node.js, Express, React, Redux and MongoDB). Through the course you will learn how all these different technologies work together.
The course is completely a practical hands on project course for building full stack projects using MERN Stack. Because this is a "learn by doing" course, you should be familiar with basics of React, HTML, and CSS. No other knowledge is required. If you successfully complete the course, you will be able to build your own MERN stack application using the best practices tought throughout the course.
What will you get at the end of the course?
⦁ You will have Complete Blog App as a portfolio
⦁ You will know implementing CRUD (create, read, update, delete)
⦁ You can covert any HTML&CSS into React application
⦁ You can integrate React with any back-end in an smooth way
⦁ You will know how and where to use React Hooks
⦁ You can use Redux for app state management
⦁ You can create reducers and actions
⦁ You will integrate Redux with React Hooks
⦁ You will know how to debug and test Redux Chrome extension
⦁ You can build an complete backend API with Node.js & Express
⦁ You can deploy to Heroku using Git
⦁ You will know how to test API with Postman
What are some app functionalities?
⦁ All Posts
⦁ Featured Posts
⦁ Trending Posts
⦁ Fresh Stories
⦁ Single Post Page
⦁ Posts by Category
⦁ 404 Page
The course is for all skill levels and experiences. It does not matter, whether you are developer who is currently learning MERN stack or it is just your first project with these technologies, this course is just for you.
All this just for a price of a typical breakfast at restaurant!
So, it is the best time to invest into yourself and learn a skill which can boost you career and salary!
Who this course is for:
Developers who wants to learn how to build and deploy a full stack MERN application
Developers who wants to learn React front to Back
Developers who wants to build API with Node JS & MongoDB Less
If you want to get started programming in Python, ... Moreyou are going to LOVE this course! This course is designed to fully immerse you in the Python language, so it is great for both beginners and veteran programmers! Learn Python as Nick takes you through the basics of programming, advanced Python concepts, coding a calculator, essential modules, creating a "Final Fantasy-esque" RPG battle script, web scraping, PyMongo, WebPy development, Django web framework, GUI programming, data visualization, machine learning, and much more!
We are grateful for the great feedback we have received!
"This course it great. Easy to follow and the examples show how powerful python can be for the beginner all the way to the advanced. Even if the RPG may not be your cup of tea it shows you the power of classes, for loops, and others!"
"Good course even for non-programmers too."
"It's really well explained, clear. Not too slow, not too fast."
"Very thorough, quick pace. I'm learning A TON! Thank you :)"
"Good explanation, nice and easy to understand. Great audio and video quality. I have been trying to get into Python programming for some time; still a long way to go, but so far so good!"
The following topics are covered in this course:
Django Web Framework
Graphical User Interface (GUI) Programming (PyQt)
This course is fully subtitled in English!
Thank you for taking the time to read this and we hope to see you in the course!
Who this course is for:
This course was designed for students with little to no programming experience
Developers familiar with Python can take their knowledge to the next level!
Students who go through the course can expect to walk away with a comprehensive understanding of Python Less