An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Machine Learning in R

A Julia machine learning framework

Coursera Machine Learning - Python code

moDel Agnostic Language for Exploration and eXplanation

PyTorch implementation of the CortexNet predictive model

Keras implementation of Representation Learning with Contrastive Predictive Coding

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

Surrogate Modeling Toolbox

An open source book to learn data science, data analysis and machine learning, suitable for all ages!

Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, machine learning, and Monte Carlo Markov Chain simulations framework over Pandas, Networkx and sklearn.

Contrastive Predictive Coding for Automatic Speaker Verification

Launch machine learning models into production using flask, docker etc.

📍 Interactive Studio for Explanatory Model Analysis

ANNdotNET - deep learning tool on .NET Platform.

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

Machine Learning (EE 5184) in NTU

MachineShop: R package of models and tools for machine learning

Personal repository of data science demonstrations and references

A simple python wrapper over MLJAR API.

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

Exploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

Lectures for Introduction to Data Science for Public Policy (PPOL 670-01)

A python multi-variate time series prediction library working with sklearn

Predicts Daily NBA Games Using a Logistic Regression Model