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Python And Django Framework For Beginners Complete Course

Course Description:
Beginner to Expert Python.Start from the basics and go all the way to creating your own applications and games!


Publisher:
Horizon Tech


Detailed Description of the Course:

 

Learn Python From Scratch

  • I’ve created thorough, extensive, but easy to follow content which you’ll easily understand and absorb.The course starts with the basics, including Python fundamentals, programming, and user interaction.The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.
  • The topics covered in this course are:Array implementationFile methods

    Keywords and Identifiers

    Python Tuples

    Python Basics

    Python Fundamentals

    Data Structures

    Object-Oriented Programming with Python

    Functional Programming with Python

    Lambdas

    Decorators

    Generators

    Testing in Python

    Debugging

    Error Handling

    Regular Expressions

    Comprehensions

    Modules

    *Django Framework With Building Projects:

    Django Web Framework, you will learn the fundamentals of web applications. web applications using Python Django Web Framework.

    • Build website and web applications
    • HTML and CSS for front end web development
    • Bootstrap for responsive web design
    • Python
    • Django for creating robust websites and web apps

    BUILD A WEB APPLICATION USING  DJANGO FRAMEWORK

  • See you inside the course!

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Java Programming: Complete Beginner to Advanced

Course Description:
Become a Computer Programmer by Learning Core Java Skills


Publisher:
CodeIn Academy


Detailed Description of the Course:

 

Would you like to learn real world programming skills that will help you get your first java programming job?

Java is one of the most popular programming languages used to create Web applications and platforms. It was designed for flexibility, allowing developers to write code that would run on any machine.

So it’s your time now to take advantage of a loads of jobs and freelance opportunities that are available for java programmers out there.

This course is provided by CodeIn Academy Instructors who are Oracle Certified professionals with many years’ experience in java programming

The course is very comprehensive and will be constantly updated. Once you have gone through this course you will be able to understand Java 8 features very easily. So, this course covers each topic in details and is focused to break down topics with simplified examples. Thus, it is for anyone who wants to learn java programming and no previous programming experience is required.

Enroll in this course now because its your time to get these highly paid and very on-demand skills.


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Python for Beginners:Introduction to Python

Course Description:
This course is a great introduction to both fundamental python programming concepts and the Python programming language.


Publisher:
Horizon Tech


Detailed Description of the Course:

Learn Python From Beginner To Advanced Level

  • I’ve created thorough, extensive, but easy to follow content which you’ll easily understand and absorb.The course starts with the basics, including Python fundamentals, programming, and user interaction.

    The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.

  • The topics covered in this course are:* Beginner to Expert Python contents:

    Array implementation

    File methods

    Keywords and Identifiers

    Python Tuples

    Python Basics

    Python Fundamentals

    Data Structures

    Object-Oriented Programming with Python

    Functional Programming with Python

    Lambdas

    Decorators

    Generators

    Testing in Python

    Debugging

    Error Handling

    Regular Expressions

    Comprehensions

    Modules

  • See you inside the course!

Take Course
Click Here


 

Complete Machine Learning with R Studio – ML for 2020

Course Description:
Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language – R studio


Publisher:
Start-Tech Academy


Detailed Description of the Course:

You’re looking for a complete Machine Learning course that can help you launch a flourishing career in the field of Data Science & Machine Learning, right?

You’ve found the right Machine Learning course!

After completing this course you will be able to:

· Confidently build predictive Machine Learning models to solve business problems and create business strategy

· Answer Machine Learning related interview questions

· Participate and perform in online Data Analytics competitions such as Kaggle competitions

Check out the table of contents below to see what all Machine Learning models you are going to learn.

How this course will help you?

Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics 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 the most popular techniques of machine learning.

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

Our Promise

Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.

Download Practice files, take Quizzes, and complete Assignments

With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.

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 3 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  models – Fifth and sixth section cover Classification models and with each theory lecture comes a corresponding practical lecture where we actually run each query with you.

Why use R for 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.


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