Complete Linear Regression Analysis in Python

Complete Linear Regression Analysis in Python

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

What you’ll learn

• Learn how to solve a 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 the 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 the OLS method of Linear Regression
• The course contains an end-to-end DIY project to implement your learnings from the lectures
• How to convert a 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

Requirements

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

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 a short span of time

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