7400 Open source projects that are alternatives of or similar to Scalable Data Science Platform

Python Helper library for Jupyter Notebooks

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Word2Vec models with Twitter data using Spark. Blog:

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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The fastai book, published as Jupyter Notebooks

Jupyter notebook and datasets from the pandas Q&A video series

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repo for code published on pythondata.com

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

Python library for identifying the peaks and valleys of a time series.

General Assembly's 2015 Data Science course in Washington, DC

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Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

Machine learning contest - October 2016 TLE

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Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

SF Brigade's Data Science Working Group.

IPython widgets, interactive plots, interactive machine learning

A repository to keep track of all the code that I end up writing for my blog posts.

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The "Python Machine Learning (1st edition)" book code repository and info resource

Lending Club Loan data analysis

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

A Clojure dataframe library that runs on Spark

Welcome everyone!🌟 Here you can solve problems, build scrappers and much more💻

Elassandra = Elasticsearch + Apache Cassandra

Artificial Learning, Intelligent Machines

Collection of open-source Spark tools & frameworks that have made the data engineering and data science teams at Swoop highly productive

Statistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.

Griffon Data Science Virtual Machine

Achieve your marketing goals with the data analytics power of Python

🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

Collaborate on privacy-preserving policy for data science projects in Pandas and Apache Spark

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

YouTube Like Count Predictions using Machine Learning

Data augmentation for NLP

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A repo for data science related questions and answers

Principles and Techniques of Data Science, the textbook for Data 100 at UC Berkeley

Machine learning fundamentals lesson in interactive notebooks

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A Unified Database of NYC transport (subway, taxi/Uber, and citibike) data.

🌎 machine learning tutorials (mainly in Python3)

The Raspberry Turk is a robot that can play chess—it's entirely open source, based on Raspberry Pi, and inspired by the 18th century chess playing machine, the Mechanical Turk.

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

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Home assignments for data science positions

Fundamentals of Spark with Python (using PySpark), code examples

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A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques