Popular GitHub Repositories for Mllib

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

大数据框架 Spark MLlib 机器学习库基础算法全面讲解,附带齐全的测试文件

dllib is a distributed deep learning library running on Apache Spark

A collection of “cookbook-style” scripts for simplifying data engineering and machine learning in Apache Spark.

Bayesian hyperparamter tuning for Spark MLLib

Slides, code and more for my class: Data Analytics and Machine Learning on Big Data

Launched a distributed application using Spark and MLlib ALS recommendation engine to analyze a complex dataset of 10 million movie ratings from MovieLens.

An item-based recommender model that computes cosine similarity for each item pairs using the item factors matrix generated by Spark MLlib’s ALS algorithm and recommends top 5 items based on the selected item.

Prediction of Customer Churn using Spark Mllib

In this tutorial, I explained SparkContext by using map and filter methods with Lambda functions in Python and created RDD from object and external files, transformations and actions on RDD and pair RDD, PySpark DataFrame from RDD and external files, used sql queries with DataFrames by using Spark SQL, used machine learning with PySpark MLlib.

Random Forest Binary Classification is applying on sample data in PySpark on Jupyter Notebook

Implementacion de un recomendador de musicas utilizando spark mllib

Pipeline PySpark pour la classification de particules en physique des hautes énergies (dataset HEPMASS). Inclut le prétraitement distribué, l'entra?nement de modèles (régression logistique, arbres de décision), l'évaluation et des visualisations clés. Optimisé pour Hadoop/Spark.