jupyter-notebooks

A collection of jupyter notebooks for practicing ML algorithms

Slope One Algoritm as suggested in the paper in 0702144.pdf
A simple user-movie-rating collaberative filtering system based on the slope one algorithm.
Data set used: MovieLens20M
Introduction to Pandas tutorial by Google.
A quick introductory exercie with pandas involving DataFrame, Series, Indexes
Reservoir Sampling algorithm for randomly selecting k items out of a stream of unkown size n.
Implementation for the same in python using the method as shown in the vitter.pdf paper.
Download the English Wikipedia titles data set
Notebook created as part of the Deep Learning Workshop.
Data required to run the same can be found in data/.
A tutorial, getting started notebook for the Python course.
Spotify Personal Playlist Creator
A statistical analysis of audio features of tracks from spotify, using spotipy library.

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
data		data
.gitignore		.gitignore
0702144.pdf		0702144.pdf
README.md		README.md
data-viz_time-series.ipynb		data-viz_time-series.ipynb
data_science_python_lab1.ipynb		data_science_python_lab1.ipynb
deep-learning-workshop.ipynb		deep-learning-workshop.ipynb
intro_to_pandas.ipynb		intro_to_pandas.ipynb
reservoir_sampling.ipynb		reservoir_sampling.ipynb
slope_one.ipynb		slope_one.ipynb
spotify-personal-playlist-creator.ipynb		spotify-personal-playlist-creator.ipynb
spotify-personal-playlist-recommender.ipynb		spotify-personal-playlist-recommender.ipynb
vitter.pdf		vitter.pdf

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