Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
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Updated
Jun 1, 2024 - R
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Faces recognition project using Support Vector Machines (SVM) and Principal Component Analysis (PCA). It utilizes the Labeled Faces in the Wild (LFW) dataset, employs dimensionality reduction with PCA, and fine‑tunes SVM hyperparameters using RandomizedSearchCV.
Slides, exercises, and exams for my course "Statistical Learning with R" (Ecole Normale Supérieure Paris-Saclay, 2023)
Fast Best-Subset Selection Library
ML assignment to implement Principal Component Analysis and Linear Regression.
Discovering Universal Geometry in Embeddings with ICA
An overview of my understanding of PCA for dimensionality reduction and Logistic Regression for model training and evaluation.
Practice Assignments for Data Science Coursework
A general purpose Snakemake workflow to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.
Unsupervised learning! Using Principal component analysis for dimension reduction and Clustering analysis.
Explore the H1B Visa data from 2014 through a comprehensive multivariate analysis.
This repository contains functions/codes related to different methods of machine learning for classification and clustering in python.
Comparative analysis of different feature extraction techniques for hyperspectral image classification.
pca: A Python Package for Principal Component Analysis.
GreeDS algorithm from Pairet etal 2020. Re-implemented to be independent from MAYONNAISE
Code to the paper: A First Approach to Quantum Logical Shape Classification Framework
A Julia package for exponential family principal component analysis (E-PCA).
Face Recognition Using several dimensionality reduction techniques along with KNN as a classification algorithm
Python library to handle Scanning Probe Microscopy Images. Can read nanoscan .xml data, Bruker AFM images, Nanonis SXM files as well as iontof images(ITA, ITM and ITS).
Machine Learning Code Implementations in Python
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