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amazon-movie-recommendation

This two-part project explores the performance of various collaborative filtering methods for inferring user-item ratings for Amazon's film and TV catalog.

courses

fast.ai Courses

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

disentangled_vae

Replicating "Understanding disentangling in β-VAE"

dz-utils

expanse-campaign-analysis

extending-deep-er

This project focuses on DeepER, a deep learning framework for entity resolution (record deduplication). It examines how DeepER performs on benchmark datasets under a variety of conditions and also tests a number of extensions designed to improve DeepER's accuracy.

gcp-test

keras-seq-2-seq-signal-prediction

An implementation of a sequence to sequence neural network using an encoder-decoder

machine-learning-implementations

A collection of common learning algorithms implemented from scratch using Python.

polling-error-correction

This personal machine learning project classifies voters and non-voters to improve polling accuracy.

pr-test

random

spark-pycon15

Materials for my Spark tutorial at Pycon 2015

spotify-song-lyric-analysis

An extended analysis of the evolution of American popular music from 1960 to 2017 using data from the Billboard Year-End Hot 100 charts, lyrics scraped from the web, and Spotify audio features.

springboard-assignments-tutorials

supervised-vae

tcvae

timeseries_seq2seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

tweetrater

TweetRater is a personal machine learning project in which an algorithm classifies tweets as either inoffensive, offensive, or hate speech and is then deployed as a web app.

zhao1701.github.io