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

A Julia machine learning framework

Machine Learning in R

moDel Agnostic Language for Exploration and eXplanation

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

Coursera Machine Learning - Python code

Surrogate Modeling Toolbox

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

Keras implementation of Representation Learning with Contrastive Predictive Coding

Contrastive Predictive Coding for Automatic Speaker Verification

Predict time-series with one line of code.

PyTorch implementation of the CortexNet predictive model

[ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning

Analytics & Machine Learning R Sidekick

Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.

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

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

SF Brigade's Data Science Working Group.

Website sources for Applied Machine Learning for Tabular Data

⚽ High-performance football analytics: build data pipelines, scrape data, model matches, rank teams, and bet smarter | Powered by www.pena.lt/y 🚀

Code for the CUP Elements on text analysis in Python for social scientists

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

Predicts Daily NBA Games Using a Logistic Regression Model

ANNdotNET - deep learning tool on .NET Platform.

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

Explore a comprehensive collection of basic theories, applications, papers, and best practices about Large Language Models (LLMs) in genomes.

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The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepare for jobs like Senior Data Analyst and Junior Data Scientist.

A Library for Conformal Hyperparameter Tuning

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