1256 Open source projects that are alternatives of or similar to Statistical Learning

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

Keras community contributions

Single-Cell Analysis in Python. Scales to >1M cells.

数据可视化, 数据挖掘, 数据处理 ETL

CogComp's light-weight Python NLP annotators

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

Verteego Data Suite

📊 📋 Dashboards using YAML or JSON files

Code and Resources for "Applied Machine Learning"

Data science interview questions with answers. Not ideally (yet)

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.

RadIO is a library for data science research of computed tomography imaging

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

A data scraper for retrieving old tweets in Twitter using Python3.

🌊 Online machine learning in Python

PyMC3 educational resources

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

Notes for using R language to do data mining and machine learning (Chinese)

Lending Club Loan data analysis

The blog post about Kubeflow, including all materials

A cleaner way to build neural networks for PyTorch.

Scripts + data to recreate analyses published on http://benjaminlmoore.wordpress.com and http://blm.io

Visualize and compare datasets, target values and associations, with one line of code.

A resource list for causality in statistics, data science and physics

🎓 Tidy tools for academics

Human Activity Recognition (HAR) with Keras and CoreML

R package for exploratory data analysis

Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available

Machine Learning Concepts with Concepts

Materials for the "AI on Kubernetes" tutorial at O'Reilly AI SF 2018

Completed assignments and coding challenges from the Lambda School Data Science program.

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

Predicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin dataset

An open source library for Fuzzy Time Series in Python

🎓 Tidy regression tools for academics

Bella is a pure python post-exploitation data mining tool & remote administration tool for macOS. 🍎💻

A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).

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

Search for tweets and download the data labeled with its polarity in CSV format

football (soccer) datasets

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

Python API for Intelligent Visual Data Discovery

This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved

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

Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

Threat Pursuit Virtual Machine (VM): A fully customizable, open-sourced Windows-based distribution focused on threat intelligence analysis and hunting designed for intel and malware analysts as well as threat hunters to get up and running quickly.

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

数据科学竞赛知识、代码、思路

Linear, IV and GMM Regressions With Any Number of Fixed Effects

An open-source platform for automating tasks using machine learning models

A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/

Lithology and stratigraphic logs for wells or outcrop.

🎓 Jupyter notebooks from UFC data science course

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

Easy to use Python library of customized functions for cleaning and analyzing data.

This repository provides everything you need to get started with Python for (social science) research.

Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables