Isolation Forest on Spark

This project was a joint effort by Lucas De Oliveira, Chandrish Ambati, and Anish Mukherjee to create a song and playlist embeddings for recommendations in a distributed fashion using a 1M playlist dataset by Spotify.

Python PMML scoring library for PySpark as SparkML Transformer

classify crime into different categories using PySpark

Welcome to some case study of data science projects - (Personal Projects).

My applied big data analytic project with pyspark.

Network traffic classifier based on Apache Spark and MLlib

Useful scripts and notebooks for Data Science. The project was made by Miquido. https://www.miquido.com/

Example from Spark MLLib (in python)

‼️ Handle Big Data for Machine Learning using Python and PySpark, Building ETL Pipelines with PySpark, MongoDB, and Bokeh

My Practice and project on PySpark

Sample code for pyspark

A collection of pyspark exercises

A PySpark MLlib classification model to classify songs based on a number of characteristics into a set of 23 electronic genres.

Analysis of information about startup companies done using machine learning and data analytics methods to predict the success of the startup companies.

In this Repo, I create a tutorial of PySpark to better understand how to read and manage Big Data.

Transformation of Akamai Logs with Spark ETL and discover of Values and similarities in logs used SparkML and H2O ML

Implementation of movie recommendation systems using Apache Spark ML alternating least squares (ALS)

scSPARKL is an Apache spark based pipeline for performing variety of preprocessing and downstream analysis of scRNA-seq data.