Python Regression Analysis: Statistics & Machine Learning

Learn Complete Hands-On Regression Analysis for Practical Statistical Modelling and Machine Learning in Python

Created by: Minerva Singh
Bestselling Instructor & Data Scientist(Cambridge Uni)

What Will I Learn?

• Harness The Power Of Anaconda/iPython For Practical Data Science
• Read In Data Into The Python Environment From Different Sources
• Implement Classical Statistical Regression Modelling Techniques Such As Linear Regression In Python
• Implement Machine Learning Based Regression Modelling Techniques Such As Random Forests & kNN For Predictive Modelling
• Neural Network & Deep Learning Based Regression

Requirements

• Be Able To Operate & Install Software On A Computer
• Have Prior Exposure To Common Machine Learning Terms Such As Regression Modelling & Supervised Learning

Target audience

• Students Who Had Prior exposure to Python programming (Not Essential)
• Students Wanting To Master The Anaconda iPython Environment For Data Science & Scientific Computations
• Students Wishing To Learn The Implementation Of Supervised Learning (Regression) On Real Data Using Python
• Students Looking To Get Started With Artificial Neural Networks & Deep Learning