/ML-LocallyWeightedRegression

Implementation of Machine Learning Algorithm Locally Weighted Regression

Primary LanguagePythonMIT LicenseMIT

ML-LocallyWeightedRegression

Implementation of Machine Learning Algorithm Locally Weighted Regression

About

Locally weighted linear regression is a non-parametric algorithm, that is, the model does not learn a fixed set of parameters as is done in ordinary linear regression. Rather parameters θ are computed individually for each query point x. While computing θ, a higher “preference” is given to the points in the training set lying in the vicinity of x than the points lying far away from x.

Applications

  1. Billiards playing robot
  2. Inverse Dynamics Learning

Pre-requisites

Download and install the following modules:
1)pandas- pip install pandas
2)matlplotlib- pip install matplotlib
3)numpy- pip install numpy

Author

Pranav Raikote