Closed Form Solution of Linear Regression and Locally Weighted Regressions (LOWESS) using Python Video

Closed Form Solution of Linear Regression and Locally Weighted Regressions (LOWESS) using Python Video

Objectives:

1. Be able to explain the Closed Form Solution of Linear Regression.
2. Perform the derivations necessary to understand this powerful algorithm.
3. Implement the closed form solution of linear regression using Python.
4. Import the numpy, pandas, and Matplotlib Python libraries.
5. Be able to explain the Locally Weighted Regressions (LOWESS) algorithm.
6. Learn how LOWESS is different than linear and multivariate linear regression.
7. Implement the closed form solution to Locally Weighted Regressions (LOWESS) using Python.

Instructor: Advait Jayant

Length: 2 hours

Access period: For one year starting from purchase date