Complete Linear Regression Analysis in Python | Free Udemy Courses

Free Certification Course Title: Complete Linear Regression Analysis in Python

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

Complete Linear Regression Analysis in Python
Complete Linear Regression Analysis in Python
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Requirements:

  • Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same

What you’ll learn:

  • Learn how to solve the 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 the Simplest Machine Learning algorithm
  • Understand how to interpret the result of a Linear Regression model and translate them into actionable insight
  • Understanding of basics of statistics and concepts of Machine Learning
  • In-depth 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

Created by Start-Tech Academy

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