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Labs for the Foundations of Applied Mathematics curriculum.

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Python-based implementations of algorithms for learning on imbalanced data.

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A Portfolio of my Data Science Projects

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Library for Semi-Automated Data Science

Automated Data Science and Machine Learning library to optimize workflow.

Time Series Forecasting Best Practices & Examples

Free and Open Source software for numerical computation providing a powerful computing environment for engineering and scientific applications.

A platform for analysis & development of machine learning models using large de-identified healthcare datasets.

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🔧 Use dplyr to analyze Big Data 🐘

Quantitative finance research tools in Python

A Handful of D(u)S(t)

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EvalML is an AutoML library written in python.

A PureScript, browser-based implementation of LDA topic modeling.

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

Tutorials and training material for the H2O Machine Learning Platform

ggplot extension: options for tailored facets, multiple colourscales and miscellaneous

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.

This is Andrew NG Coursera Handwritten Notes.

A jupyter notebook that provides analysis for StarCraft 2 replays

🍋 Lemon --- Freshing up your ggplots

EPFL summaries & cheatsheets over 5 years (computer science, communication systems, data science and computational neuroscience).

📼👾🕹Vaporwave themes and color palettes for ggplot2💾👨‍🎤📺

mlr3 manual

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📝 Подборка ресурсов по машинному обучению

Self-study plan to achieve mastery in data science

Financial Web Scraper & Sentiment Classifier

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

A community run, 5-day PyTorch Deep Learning Bootcamp

Tools for theming shiny and rmarkdown from R via Bootstrap (3 or 4) Sass.

这是一本中文 R 语言入门书，基于最新 tidyverse 包。

The "Python Machine Learning (1st edition)" book code repository and info resource

A point-and-click tool for creating and analyzing topic models produced by MALLET.

A curated list of awesome machine learning interpretability resources.

Python3 binding to mRMR Feature Selection algorithm (currently not maintained)

Principles and Techniques of Data Science, the textbook for Data 100 at UC Berkeley

Templates for jupyter notebooks

Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

Maze Applied Reinforcement Learning Framework

Time Series Cross-Validation -- an extension for scikit-learn

Hayate-Shiki is an improved merge sort algorithm with the goal of "faster than quick sort".

Machine learning metrics for distributed, scalable PyTorch applications.

📖 每一个伟大的思想和行动都有一个微不足道的开始

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

Concise deep learning for JAX

YouTube Like Count Predictions using Machine Learning

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

Interactively edit ggplot layer aesthetics and theme definitions

CARTO Python package for data scientists

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).