Linear Regression Analysis in Python-Machine Learning Basics

Linear Regression Analysis in Python-Machine Learning Basics, Linear Regression in Python. Simple and multiple Regression Analysis is essential for Machine Learning and Econometrics

Created by Start-Tech Academy

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