pca

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

👑 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

Implement face recognition using PCA, LDA and LPP

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

pca: A Python Package for Principal Component Analysis.

PCA that iteratively replaces missing data

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

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

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

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 **Superseded by the models-by-example repo**.

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

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language