6736 Open source projects that are alternatives of or similar to 2016 Ml Contest

IPython Notebooks

A Handful of D(u)S(t)

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PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Projeto de análise de contratos com suspeita de superfaturamento e má qualidade na prestação de serviços.

A collection of Jupyter/IPython notebooks

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

A jupyter notebook that provides analysis for StarCraft 2 replays

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

Explore and analyse your Home Assistant data

Lending Club Loan data analysis

Allstate Kaggle Competition ML Capstone Project

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

Source material for Python Like You Mean it

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

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.

A community run, 5-day PyTorch Deep Learning Bootcamp

Tutorials and training material for the H2O Machine Learning Platform

R package to interface with OpenML

A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

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

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

A Python library for easy data analysis, visualization, exploration and modeling

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

Achieve your marketing goals with the data analytics power of Python

📢 Ready to learn or review your knowledge!

Teaching materials in python at the @ENSAE

Forward modeling, inversion, and processing gravity and magnetic data

🍧 A repository that contains courses I have taken on DataCamp

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

🤖⚡️ scikit-learn tips

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

ETL with Python - Taught at DWH course 2017 (TAU)

Koç University deep learning framework.

Templates for jupyter notebooks

GitHub Action for repo2docker

Malware Data Science Reading Diary / Notes

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.

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

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

Word2Vec models with Twitter data using Spark. Blog:

DLTK Model Zoo

Datasets, tools, and benchmarks for representation learning of code.

Yet another black-box optimization library for Python

Best Practices on Recommendation Systems

Data science and Big Data with Python

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

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

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

Artificial Learning, Intelligent Machines

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

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

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.

Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks

Geophysical Tutorials column for 2017

A repo with tutorials for algorithms from scratch

repo for code published on pythondata.com

Griffon Data Science Virtual Machine

🐍💻📊 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)