LDA, QDA and NB in Python from scratch

Counter-Strike: Global Offensive round winner predictor based on models trained with snapshots of data across different rounds.

Machine Learning Library for Classification Tasks

Tools created for machine learning classification model evaluation

Machine learning library for classification tasks

Machine learning library for classification tasks

Machine learning library for classification tasks

Face Recognition Using several dimensionality reduction techniques along with KNN as a classification algorithm

Machine learning library for classification tasks

Machine learning library for classification tasks

Face Recognition Project using PCA and LDA Algorithms for Dimensionality Reduction

Intermediate Machine learning course with example projects

The folliwing ML project involves EDA analysis of Election Dataset, Data preparation for modelling, and prediction using ML models. Also Text Analysis on the inaugral corpora from nltk to analyse the most frequently used words in Presidents' Speeches.

Using Linear Regression, Logistic Regression and Linear Discriminant Analysis Models to make accurate predictions for different datasets.

This repository contains implementations of various machine learning algorithms done from scratch by me.

Face Recognition using PCA & LDA dimensionality reduction, then classification using KNN.

Source code written in R to implement multivariate analysis methods. Covering principal component analysist, factor analysist, clustering, manova, and so on.

Extract the dominant topics from the given text input

Machine Learning models for Alzheimer’s Classification

Automated polysomnography for experimental animal research