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absa-bert-pair

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)

absadatasets

Public & Community-shared datasets for Aspect-based sentiment analysis and Text Classification

bead2020

beadjan2022

All Codes for BEAD

beak-analysis

bert_for_absa

In this work (Targeted) Aspect-Based Sentiment Analysis task is converted to a sentence-pair classification task and a pre-trained BERT model is fine-tuned on it.

chris_app

cs109a-spotify-recommendation

A Spotify Playlist Recommendation System based on a collaborative filtering algorithm using the Million Playlist Data Set (MPD).

machine-learning-regression

Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

ml-task-3

AIAP Technical Assessment Improvement

movie_recommendation_system

Recommendation system for movies using the MovieLens dataset

msongsdb

Code for the Million Song Dataset, the dataset contains metadata and audio analysis for a million tracks, a collaboration between The Echo Nest and LabROSA. See website for details.

pyabsa

Open Framework for Aspect-based Sentiment Analysis based on state-of-the-art Models

pyspark-examples

Pyspark RDD, DataFrame and Dataset Examples in Python language

python-dashboard-panel

Interactive visualization dashboard in Python with Panel

recommendation-system-movielen-dataset-

This is a movie recommendation project based on Movielen 25M dataset using pyspark, SQL, Matrix Factorization algorithm, etc to do data analysis

recommender-systems-movielens

Collaborative-filtering and content-based recommender system implementations for MovieLens items with algorithms including SGD, ALS, Feature Encoding, TF-IDF

recsys

Build Recommender System

spark-user-churn

Predicting churn with Apache Spark and AWS.

spotify-playlist-recommender

Playlist Recommender for Spotify

spotify-recommendation-engine

Music Recommender System

spotify-recsys

Music recommendation on Spotify Million Playlist Dataset Challenge

spotify-recsys-challenge

A complete set of Recommender Systems techniques used in the Spotify Recsys Challenge 2018 developed by a team of MSc students in Politecnico di Milano.

spotify-song-recommendation-ml

UC Berkeley team's submission for RecSys Challenge 2018

toyapp1

Streamlit Toy App-1

toyapp1-chris

winutils_kontext

winutils.exe hadoop.dll and hdfs.dll binaries for hadoop windows