This repository is a collection of machine learning projects to better understand the application of ML in real world scenarios.
Each folder contains an ipython-notebook which can be run using jupyter-notebook to visualize and understand the various python commands needed to apply machine learning to datasets and derieve useful results. The doc.txt in each folder contains the necessary explanation for the code.
Each notebook contains the link to the actual dataset. Feel free to fork the repo and add necessary changes. Enjoy.