1648 Open source projects that are alternatives of or similar to Spotify-Song-Recommendation-ML

An open source recommender system service written in Go

Curated list of Python resources for data science.

6th Solution for 2020-KDDCUP Debiasing Challenge

PHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.

Ultimate Python library for time series analysis and backtesting at scale

TSrepr: R package for time series representations

NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

📖Notes and remarks on Machine Learning related papers

Introduction to Data Science

model-describer : Making machine learning interpretable to humans

Multi-class confusion matrix library in Python

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

source{d} Community Edition (CE)

数据可视化, 数据挖掘, 数据处理 ETL

Analyze Data with Pandas-based Networks. Documentation:

Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object

Building recommender systems in Julia

recommender system tutorial with Python

Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.

heidi : tidy data in Haskell

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

Type System for Data Analysis in Python

서울시 공무원의 업무추진비를 분석하여 진짜 맛집 찾기 프로젝트

A simple Python wrapper to download tweets data from the Twitter Analytics platform. Particularly interesting for the impressions metrics that are unavailable on current Twitter API. Also works for the videos data.

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

A proofreader for your data

安全场景、基于AI的安全算法和安全数据分析学习资料整理

Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤

Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.

NFStream: a Flexible Network Data Analysis Framework.

Machine learning fundamentals lesson in interactive notebooks

List of tools & datasets for anomaly detection on time-series data.

the `pipeline` shell command

TipDM建模平台，开源的数据挖掘工具。

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

《Python数据分析与挖掘实战》随书源码与数据

Export Spotify playlists using the Web API. Analyze them in the Jupyter notebook.

ELKI Data Mining Toolkit

WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems

Summary of social recommendation papers and codes

PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.

tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.

Loan Application Data Analysis

A collection of Jupyter Notebooks used in conferences or just to have some snippets.

kNN-based next-basket recommendation

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Towards open benchmarking for recommender systems https://openbenchmark.github.io/BARS

In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

BPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

Practical Data Science with Ruby based tools.

Disentagnled Graph Collaborative Filtering, SIGIR2020

Taller SparkR para las Jornadas de Usuarios de R

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

简单的可视化湖州通话数据 假设数据量很大，没法用浏览器直接绘制热力图，把绘制热力图这一步骤放到线下计算分析。使用Apache Spark并行计算数据之后，再使用Apache Spark绘制热力图，然后用leafletjs加载OpenStreetMap图层和热力图图层，以达到良好的交互效果。现在使用Apache Spark实现绘制，可能是Apache Spark不擅长这方面的计算或者是我没有设计好算法，并行计算的速度比不上单机计算。Apache Spark绘制热力图和计算代码在这 https://github.com/yuanzhaokang/ParallelizeHeatmap.git .