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berkeley-big-data-ml

Big data, ml labs for berkeleyX

bst-analysis

Check whether expected value of height of tree is directly related to the log(number of nodes)

cmfs-feature-selection

Implementation of the improved CMFS algorithm for feature selection

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

earl

Entity And RELation mapping

footballdata

A hodgepodge of JSON and CSV Football/Soccer data

gensim

Topic Modelling for Humans

group-5

gsoc

Numfocus Google Summer of Code Materials

langdata

Source training data for Tesseract for lots of languages

matplotlib

matplotlib: plotting with Python

metric-learn

Metric learning algorithms in Python

movie-plots-by-genre

Movie plots by genre tutorial at PyData Berlin 2016

palmetto

Palmetto is a quality measuring tool for topics

scikit-learn

scikit-learn: machine learning in Python

spoon-knife

This repo is for demonstration purposes only.

stanford-ml

Labs completed as part of the online ML course offered by Stanford

stuff-with-pandas-and-simple-peak-detection

Just wanted to learn how to work with csv files, how to use pyplot and how to do some elementary peak detection.

tessdata

twitter-user-classification

Twitter user classification tutorial at PyCon France 2016

vedanta

vedanta-general-purpose-website

The website we built for people visiting Vedanta

vedantagenpurwebsite

vedantagh

Guest house room booking portal we developed for vedanta

whatsapp-analyser

This is a full fledged whatsapp analyser intended to work on any conversation.