Open source platform for the machine learning lifecycle

🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

Datasets used in Plotly examples and documentation

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Pyspark RDD, DataFrame and Dataset Examples in Python language

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

This project provides Apache Spark SQL, RDD, DataFrame and Dataset examples in Scala language

Lab files for Azure Machine Learning exercises

🐍 Quick reference guide to common patterns & functions in PySpark.

PySpark Cheat Sheet - example code to help you learn PySpark and develop apps faster

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Base Open Data Sources

Python & JAVA Solutions for Leetcode

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Spark: The Definitive Guide's Code Repository

In this Complete process in machine learning is discussed and done with pyspark .

Data Science Toolkit

Codes related to activities on AV including articles, hackathons and discussions.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.