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solr-recommender

solutions

Solutions for ML competetions

spark-mllib-twitter-sentiment-analysis

:star2: :sparkles: Analyze and visualize Twitter Sentiment on a world map using Spark MLlib

spark-movie-lens

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

sptf_test

sptf test

stock-market-price-prediction

Analysis of various deep learning based models for financial time series data using convolutions, recurrent neural networks (lstm), dilated convolutions and residual learning

sunny-side-up

Sentiment Analysis Challenge

tensorflow-examples

TensorFlow Tutorial and Examples for beginners

tensorflow_tutorials

From the basics to slightly more interesting applications of Tensorflow

test

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

time-series-forecasting-pytorch

Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM

titanictree

Interactive Decision tree with Microsoft R

tmrmr

Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.

trendy

Numerical trendline algorithms for technical analysis of financial securities.

uap-r

R implementation of ua-parser

unifiedmatrixfactorization

Unified Matrix Factorization Model for recommendation

vbuild-rsch

VirtualBox environment running Spark, Cassandra and HDFS

vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

wabbit_wappa

Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.

winerama-recommender-tutorial

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

youtube-videos