Supervised Learning - Linear Regression in Python
In this course you will learn to apply Least Squares regression and it's assumptions to real world data. Then we'll improve on that algorithm with Penalized Regression and non-parametric Kernel methods
Understanding basic statistical modeling and assumptions
Build & Evaluate supervised linear models using:
Least squares
Penalized least squares
Non-parametric methods
Model selection and fit on real world applications:
Insurance
Healthcare
etc.
Code samples
https://bitbucket.org/arthuranalytics...
Link to course:
https://www.experfy.com/training/cour...