This repository contains a set of Jupyter notebooks showcasing my solutions to the programming problems of the "Learning From Data" course offered by Prof. Dr. Yaser Abu-Mostafa (Caltech) on the edX platform. It contains almost only programming problems, as the theoretical problems are imho best done (and digested) in a very old-school way: using pen and paper.
Implementations of algorithms are in Python (>= 3.6) and depend on the following libraries
numpy(>=1.13)matplotlib(>=2.0.2)scipy(>= 0.19)scikit-learn(>= 0.19)numba(>= 0.35)
Note that for accessing the online data sets, you will also need
requests. For Windows users, these
dependencies are most easily satisfied by using conda
Contained notebooks are licensed under the MIT License.
If you have any questions, please feel free to contact me at github or via email [email protected]
Cheers, Felix
Copyright (c) 2017 Dr. Felix Heinrichs