Using classification algorithms to predict the geographical origin of an individual.

Analyze a dataset on muscular dystrophy and make statistical inferences

Machine learning algorithms from scratch in python.

NUS Pattern Recognition module graded assignments

In this project we conducted linear discriminant analysis to determine whether a given car is above or below the median mpg.

Data Understanding using- PCA, LDA, tSNE, and UMAP.

Exploratoy Data Analysis,Logistic Regression,Penalized Logistic Regression (LASSO), LDA, Decision Trees, Bagging, Random Forest

Participating in Hacktoberfest 2022. Code performing dimensionality reduction on datasets accepted.

Based on customer visiting information to the site the customer sales revenue is predicted using machine learning models stacking

Heart Disease Predictor QDA Framingham Dataset

This project is based on 2 cases studies : Gems Price Prediction and Holiday Package prediction. In the first case study, concepts of linear regression are tested and it is expected from the learner to predict the price of gems based on multiple variables to help company maximize profits. In the second case, concepts of logistic regression and l…

Implementation of Fisher Linear Discriminant Analysis in Python

Continuation of my machine learning works based on Subjects....starting with Evaluating Classification Models Performance

Explore facial recognition through an advanced Python implementation featuring Linear Discriminant Analysis (LDA). This repository provides a comprehensive resource, including algorithmic steps, specific ROI code and thorough testing segments, offering professionals a robust framework for mastering and applying LDA in real-world scenarios.

Various Machine learning algorithms

Diabetes detection in patients using different machine learning techniques and comparing the algorithms based on confusion matrix and other metrics.

Analysing different dimensionality reduction techniques and svm

Applying different machine learning algorithms on PCGA Prostate Cancer Gene Dataset for Feature Selection, Dimensional Reduction and Classification and Regression