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airbnb-interactive-visualization

airbnb-price-prediction

Airbnb price prediction based on Airbnb open data. Provide a guide for customers and new hosts to set their ideal price.

apache-spark-movielens-recommendation-system

Apache Spark Movie Recommendation System on MovieLens

apache-spark-pet-owners-prediction-on-youtube-comments

Apache Spark Pet Owners Prediction on YouTube Comments

books

技术资料分享

cryto_sentiment_price

csci-544-natural-language-processing-homeworks

These are Homework Assignments for CSCI 544. 1 Naïve Bayes Classifier 2 Part of Speech Tagging using Hidden Markov Model 3 Calculating Bleu Score for Machine Translation

data-modeling-with-apache-cassandra

Data Modeling with Apache Cassandra using music stream data

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

docker-react

dockercasts

Companion repo to a course on Udemy.com

github-release-notes

Node module to create a release or a changelog from a tag and uses issues or commits to creating the release notes.

hgru4rec

Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"

justquanf-fintech995-da

The purpose is about enhancing conversion for company's product. The main task is utilizing the historical data to analyze the best day for company's promotion activity and to predict potential customers from the data. The release of the code is authorized by the original company and does not involve trade secret

justquant_future_hedging

The goal is getting 42 items of futures historical data from Quandl API then use PCA to automatically generate a hedged portfolio.

leetcode-solution

lstm_rnn_tutorials_with_demo

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

ml2022-spring

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring

mle-career-path

Record a list of reading resource and progress from a entry level data scientist to a machine learning engineer

movie-review-sentiment-classifier

udacity ml engineer course project 1: sentiment analysis

music-stream-data-modeling-with-postgressql

Utilizing PostgresSQL to create a music streaming app database including song related datasets and user log related datasets

next-item-recommendation-using-keras

Next-item recommendation on top of Amason’s explicit rating dataset, using deep learning with Keras

plagiarism-detection

Plagiarism Detection

py-books

A collection of Python books 📖

recsys-benchmarks

risk-score-rpi-solver

Solution for the COVID-19 Challenge co-hosted by the City of Los Angeles and RMDS Lab. Publish risk scores for over 30,000 locations in the City of Los Angeles and nearby commmunities. Keep updating.

rmds_covid19_riskgenerator

scikit-learn

scikit-learn: machine learning in Python

sentiment-analysis-on-nba-players-s-twitter-aacount

It is known that the leading players in a team play a vital role in the game-winning. Hence, we are curious if the players' emotion before the game will affect their performance or even have an impact on the game result. To measure this effect, we choose Twitter as our tool to measure the players' sentiment because a majority of NBA players tweet their opinions or mind on twitter. However, it is time-consuming to evaluate each player's tweet in the league; hence we will be just focusing on the leading players. The leading players here we define are players who have the most followers in each team, which means there will be a total of 30 players in our analysis.

spark-data-clustering-and-spatial-data-analysis-on-san-francisco-crime-data

Spark Data Clustering, Spatial Data Analysis, and Data Visualization on San Francisco Crime Data