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Linear Regression in Python| Simple Regression, Multiple Regression, Ridge Regression, Lasso and subset selection also

What you’ll learn

  • Learn how to solve real life problem using the Linear Regression technique
  • Preliminary analysis of data using Univariate and Bivariate analysis before running Linear regression
  • Predict future outcomes basis past data by implementing Simplest Machine Learning algorithm
  • Understand how to interpret the result of Linear Regression model and translate them into actionable insight
  • Understanding of basics of statistics and concepts of Machine Learning
  • Indepth knowledge of data collection and data preprocessing for Machine Learning Linear Regression problem
  • Learn advanced variations of OLS method of Linear Regression
  • Course contains a end-to-end DIY project to implement your learnings from the lectures
  • How to convert business problem into a Machine learning Linear Regression problem
  • Basic statistics using Numpy library in Python
  • Data representation using Seaborn library in Python
  • Linear Regression technique of Machine Learning using Scikit Learn and Statsmodel libraries of Python

You’re looking for a complete Linear Regression course that teaches you everything you need to create a Linear Regression model in Python, 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 Python and analyze its result.
  • Confidently practice, discuss and understand Machine Learning concepts

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.

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
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