[100% OFF] Learn Angular 7 Boilerplate In Hindi (Get A CRUD Project) Free
This short course is designed to beginners 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
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
This course will teach students every thing about ... MoreSEO in 40 minutes and make them perform SEO by using the best practices. What's more this SEO course is built to stand the test of time...keep reading to find out why!
"Short and essential"
"Really engaging, like the way you explain all the little things, good for us beginners!"
"Struggled with these concepts before this course. Thank you for explaining it so simply"
"Great course by a great instructor."
Who this course is for:
Students desiring to learn SEO
People who want to perform on their websites to increase traffic 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
Welcome to this Comprehensive Linux Shell Scriptin... Moreg Laser Targeted Course "Updated”.
In short, this is the one stop shop for everything you need to become a Master in Shell Scripting.
With 70+ Long, but Laser Targeted Videos, over 21 packed hours, we will leave no stone unturned.
Are you ready to start your path to becoming a Master in Shell Scripting and learn one of employer's most demanded skills for 2020 and beyond?
This is by far the most comprehensive, yet condensed and straight-forward, course bundle for Linux Shell Scripting on Udemy! Whether you have never had any knowledge on Shell Scripting before, already know some basic skills, or want to learn about the advanced features of Shell Scripting, this is the course you are looking for!
Don’t miss this Limited Time Offer. ACT NOW!
You will Learn by Practice:
By the end of this Unique Course, you will go from #Newbie to #Advanced as a #Shell_Scripting_Expert. Here is what you’ll learn:
Chapter 01 - Introduction
0101 - About this Course
0102 - Course Structure
0103 - What is the UNIX Shell
0104 - Which Shell
0105 - What is a Shell Script
Chapter 02 - Your First Shell Script
0201 - A Basic Script
0202 - The echo Command
0203 - The read Command
0204 - Shell Basics Revisited
0205 - Special Characters
0206 - Comments
0207 - Chapter Exercises
0208 - Exercise Solutions
Chapter 03 - Running a Shell Script
0301 - Running a Script on the Command-line
0302 - Running a Script from within vi
0303 - Your PATH and bin
0304 - Script Interpreters
0305 - CGI Scripts
Chapter 04 - Shell Programming Features
0401 - Shell Variables
0402 - Environment Variables
0403 - The Trouble with Quotes 1
0404 - The Trouble with Quotes 2
0405 - Grouping Commands
0406 - Line Control
0407 - Chapter Exercises
0408 - Exercise Solutions
0409 - Introducing the Course Project
0410 - Course Project Solution
Chapter 05 - Conditional Code
0501 - True and False
0502 - Conditional Command Execution
0503 - The if Statement
0504 - The else Clause
0505 - The elif Clause
0506 - Using test 1
0507 - Using test 2
0508 - Using test 3
0509 - The case Statement
0510 - Chapter Exercises
0511 - Exercise Solutions
Chapter 06 – Loops
0601 - The while Loop
0602 - break and continue
0603 - Numerical Calculations
0604 - The for Loop
0605 - Chapter Exercises
0606 - Exercise Solutions
Chapter 07 - Text Processing
0701 - About Filters
0702 – grep
0703 - Regular Expressions
0704 – sort
0705 – sed
0706 - awk 1
0707 - awk 2
0708 - Chapter Exercises
0709 - Exercise Solutions
Chapter 08 – Functions
0801 - Program Structure
0802 - Defining and Calling a Function
0803 - Function Parameters
0804 - Function Return Values
0805 - Functions in Other Files
0806 - Case Study- The yesno Function
0807 - Chapter Exercises
0808 - Exercise Solutions
Chapter 09 - Command-line Parameters
0901 - Using Command-line Parameters
0902 - Using shift
0903 - Using set - - Command
0904 - Using IFS
0905 - Usage Messages
0906 - Chapter Exercises
0907 - Exercise Solutions
Chapter 10 - Advanced Scripting
1001 – Debugging
1002 - Default Values for Variables
1003 - Temporary Files
1004 - Preventing Abnormal Termination
1005 - Chapter Exercises
1006 - Exercise Solutions
1007 - The End
Chapter 11 - Additional Content Part 1: Exercises and More
1101 – Please download the attached Exercises Files
1102 – Learn EMACS
1103 – Learn VI and Vim
1104 – Very Valuable Documentation
Additional Content Part 2: Grand Finale
Bonus Lectures. Enjoy the Benefits
You could also end up using these skills in your work for Your #Clients, and much more.
You'll Also Get:
✔ Lifetime Access to course updates
✔ Udemy Certificate of Completion Ready for Download
✔ A responsive instructor in the Q&A Section
✔ This courses’ bundle comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back.
So wait no more! Learn Linux Shell Scripting, increase your knowledge, become a Shell Scripting Expert and advance your career all in a fun and practical way!
I really hope you found this course valuable, but either way, please leave a review and share your experience... Less
***SQL course which gained immediate popularity wi... Moreth the launch on UDEMY***
***Continuously being updated with new topics/videos every week***
***Added lecture SQL vs NOSQL*** > 19 Dec 2019 (under Interview Section)
***Added Interview Section*** > 15 Dec 2019
*** Added lecture Most Important SQL Queries*** > 15 Dec 2019
***Added lecture What is VIEW?*** > 15 Dec 2019
You need to learn the most important and powerful language of the database world - SQL which makes your programming skills complete and enriched in just less than 20 hours of study!
If you have already wasted your time and money in hunting for a complete yet concise course in SQL through random youtube videos or offered by inexperienced people - then you are at the right place here. This course brings step-by-step lessons in its logical series of videos to help you master the art and science of SQL. Moreover there is not even a basic knowledge of programming envisaged while designing this course.
This course has been brought by an highly experienced faculty who have had 20+ years of experience in working as Oracle developer and DBA out of which 6 years onside in USA and UK. The faculty has been working in Oracle field ranging from Oracle version 6 to the latest 19C.
This course is for everybody who likes to make career in database programming, front end programming, ERP, or in general succeed as an IT professional, management people and undergraduate students of any stream. This course is covered on Oracle's LiveSQL platform available on web hence does not require any local installation of Oracle, yet the students can practice on latest version, the current is Oracle 19C. Being on web, students can learn, take notes or do practice sitting anywhere as Oracle LiveSQL is accessible on all the devices - PC, Laptops or even Mobiles.
Who this course is for:
Students interested in database back end programming
Programmers in any other front end language like Java or PHP or Python etc, must learn SQL
Engineering students, Computer Science students, Science / Commerce students - All pursuing UG or PG or completed with degree
Management people who are required to draw ad-hoc data as per requirement 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
This course is a skills based journey into app dev... Moreelopment. Throughout this course students will learn the skills necessary to build apps for iOS using Xcode and the Swift Programming Language Less
We will work on the following 3 coding projects in this course:
Calculator Application - We will go over the basics of what React is, how to create components and how to work within the React life-cycle.
Chat Application - We will explore socket programming. With a web socket you can keep clients connected on the server side. We will program a chat app where you can create a user account, add other users and then message back and forth with them.
All of the lectures are downloadable for offline viewing. English captions are available within the course.
Thank you for taking the time to read this and we hope to see you in the course! Less
Would you like to get a job in the field of IT? Do... More you want to become a Linux system administrator but don’t know where to get started? In this course we will begin by covering the very basics of using the Linux operating system, and move on to the advanced system and networking skills necessary to become a Linux administrator! We will cover the following topics in this course:
Command line usage
Development tools including choosing an IDE
Complete Meteor.js web project
LAMP stack setup and app deployment
Enroll now to receive 7.5+ hours of HD video tutorials, lifetime access and a certificate of completion!
This course is fully subtitled in English.
If you are not convinced, here are a few of the glowing reviews this course has received.
"Course starts out with basic commands and works through more advanced commands as it progresses. The course then goes through add on software and applications following demonstrates basic usages of that application. It was easy to follow along on my personal install of Ubuntu by pausing/review the tutorial as needed. I suggest this method than just sitting and watching the course all the way through. This course is much easier than just reading books. Recommend to friends who just started out in Ubuntu."
"Great explanations. Great teacher."
"It's still early in the course but I've learned a lot. Great job so far."
Thank you for taking the time to read this and we hope to see you in the course!
Who this course is for:
Students who want to get started using Linux
Students interested in learning web development
Student who would like to work as a Linux system administrator Less
Hi ! i'm a freelancer from India
you might have... More subscribed to online courses earlier which mess up with lot of boring theory explanations,
and this course is completely different.we will learn the amazing framework(django) practically, it just turns your idea into a startup
django is a kind of framework, where we can do the same thing in different ways, so as per my freelancing experience i will choose only one way to do a particular task. so in this course i will be explaining you my best practices that i do instead of explaining all the possible ways .this is the reason i reduced this course from 24 hours to nearly 4 hours removing all unnecessary stuff, this is just to make you learn quicker.
everything is explained in simple English, instead of using Hi-Fi vocabulary and technical terms. so that it will be completely beginner friendly. Less
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
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 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
UPDATE FOR 2020 with Tanmay's latest knowledge on ... MoreAgile Scrum Certification!
This course is about learning the latest Agile Scrum methodology for the Software development field. In this course, you will learn all other Agile methodologies along with detailed information on Scrum.
By this course, experienced project managers can grow in their careers and get the next level of opportunity as an Agile Scrum Master and the junior team members can learn the process of the Agile Scrum methodology.
The biggest target audience is at any experience level who wants to learn Agile Scrum in detail and apply in the career!!!
Who this course is for:
Project Managers who would like to be an Agile Scrum Master
Qualifying Agile Scrum Master Certification Exam
People who want to learn about Agile Scrum
Developers, BAs, Architects, Analysts, Designers, Managers, etc 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
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