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applied-social-network-analysis-in-python

Course - 5; Specialization: Applied Data Science with Python; University Of Michigan

automated-data-visualization-docs

Documentaion for Automated Data Visualization Algorithms

basic_model_scratch

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

content-engine

A very simple content-based recommendation engine. Great for learning, but also ready for real-world use.

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

datasciencecoursera

datasharing

The Leek group guide to data sharing

deepstock

Technical experimentations to beat the stock market using deep learning :chart_with_upwards_trend:

featuretools

automated feature engineering

hello-world

First Repository

inspect_word2vec

Python code for checking out Google's pre-trained, 3M word Word2Vec model

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier

pixeldtgan

A torch implementation of "Pixel-Level Domain Transfer"

rvest

Simple web scraping for R

sentiment-analysis-twitter

:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.

textblob

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

tweets_analyzer

Tweets metadata scraper & activity analyzer

twitter-sentiment-analysis

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

wordsmith-python-sdk