AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Python code for common Machine Learning Algorithms

Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；完册，最后打磨。纠错多的同学，有赠书感谢！

👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

A lean C++ library for working with point cloud data

H2Oai GPU Edition

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

📊 Computation and processing of models' parameters

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Machine Learning Lectures at the European Space Agency (ESA) in 2018

pca: A Python Package for Principal Component Analysis.

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

Implement face recognition using PCA, LDA and LPP

PCA that iteratively replaces missing data

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

This is a Project Page of 'Towards a complete 3D morphable model of the human head'

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles