pca topic
Mathematics-for-Machine-Learning
This repository contains the code for all the programming tasks of the Mathematics for Machine Learning courses taught at Coursera by Imperial College London
SVM-classification-localization
HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS
HRTF-Individualization
Head-related Transfer Function Customization Process through Slider using PCA and SH in Matlab
ml-course
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
data-science-learning
📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.
ailearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
h2o-3
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-Me...
vizuka
Explore high-dimensional datasets and how your algo handles specific regions.
ares
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms