#Pca
Showing 33 of 33 repositories tagged #pca, ranked by stars
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.
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
H2Oai GPU Edition
Machine Learning Lectures at the European Space Agency (ESA) in 2018
PCA that iteratively replaces missing data
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
This repository contains an in-depth analysis of the Intrusion Detection Evaluation Dataset (CIC-IDS2017) for Intrusion Detection, showcasing the implementation and comparison of different machine learning models for binary and multi-class classification tasks.
ML-algorithms from scratch using Python. Classic Machine Learning course.
Beta Machine Learning Toolkit
Explore high-dimensional datasets and how your algo handles specific regions.
Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.
Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN
A repository for recording the machine learning code
An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.
a repository for my curriculum project
In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
A general purpose Snakemake workflow and MrBiomics module to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.
Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
DataMap is a browser-based app for visualizing data using heatmaps, PCA plots, and t-SNE plots.
Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza
Data Science Python Beginner Level Project
Quantitative analysis of Fixed Income Securities, including bond pricing models, yield curve fitting, PCA analysis, bond returns predictability and fixed income derivatives.
zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib
Python library for chemometric data analysis
A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.
A repository for recording the codes of machine learning algorithms
Migrated to: https://gitlab.com/Oslandia/osm-data-classification
This repository shows the application of PCA technique for risk factor modelling of financial securities.