6771 Open source projects that are alternatives of or similar to Full Stack Data Science

Modern Data Science

Introduction to Data Science

Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition

Python tools for data analysis

RCS Intro to Databases workshop materials

The blog post about Kubeflow, including all materials

Google Colaboratory Notebooks and Repositories (by @firmai)

The "Python Machine Learning (2nd edition)" book code repository and info resource

Python pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage

A collection of Jupyter Notebooks for learning Python for Data Science.

Dockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning

Association Rule Mining from Spatial Data for Crime Analysis

A Julia machine learning framework

A collection of notebooks of my Machine Learning class written in python 3

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

Quiz & Assignment of Coursera

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Resources for weekly Data Science Lunch & Learns

USC urban data science course series with Python and Jupyter

Best Practices, code samples, and documentation for Computer Vision.

CARTO Python package for data scientists

A workshop on data privacy methods for data scientists.

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Material for the EPFL master course "A Network Tour of Data Science", edition 2017.

🎓 Jupyter notebooks from UFC data science course

Word2Vec models with Twitter data using Spark. Blog:

Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).

Teaching materials in python at the @ENSAE

🍧 A repository that contains courses I have taken on DataCamp

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

A collection of Jupyter/IPython notebooks

R package to interface with OpenML

Source material for Python Like You Mean it

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Koç University deep learning framework.

GitHub Action for repo2docker

A site that displays up to date COVID-19 stats, powered by fastpages.

A Handful of D(u)S(t)

Tutorials and training material for the H2O Machine Learning Platform

A fast and lightweight AutoML library.

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

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

A repo with tutorials for algorithms from scratch

DLTK Model Zoo

🤖⚡️ scikit-learn tips

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

Explore and analyse your Home Assistant data

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

Yet another black-box optimization library for Python

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Achieve your marketing goals with the data analytics power of Python

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

This is Andrew NG Coursera Handwritten Notes.

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

Source code and data analyses for the Sci-Hub Coverage Study