linear-discriminant-analysis-lda

AniKar/AE_Vis

Autoencoder model implementation in Keras, trained on MNIST dataset / latent space investigation.

Escapist-007/ML_Projects

The projects are part of the graduate-level course CSE-574 : Introduction to Machine Learning [Spring 2019 @ UB_SUNY] . . . Course Instructor : Mingchen Gao (https://cse.buffalo.edu/~mgao8/)

Nikhilkohli1/Machine-learning-from-scratch

Implementation of Machine Learning Algorithms (KNN, Linear, Logistic, SVM, K-Means, Decision Tree, Naive Bayes) from Scratch using Python & Numpy only

Ayantika22/LDA-Linear-Discriminant-Analysis-for-Seed-Dataset

LDA(Linear Discriminant Analysis) for Seed Dataset

znreza/Machine_Learning_on_Prostate_Cancer

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

harshit37/Dimensionality-Reduction-using-PCA-LDA-and-t-SNE

Analysing different dimensionality reduction techniques and svm

bhataparnak/Machine-Learning-Projects

Various Machine learning algorithms

Joycechidi/MachineLearning2

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

mosama1994/Diabetes-Detection-using-Machine-Learning

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

SohhamSeal/Fisher-Faces

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.

vvittis/MachineLearning

AchyutaKrishna/Applied-Statistical-Methods-project

Analyze a dataset on muscular dystrophy and make statistical inferences

benhachy/ClassificationAmerica

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

drewli815/LDA-on-Automobiles

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

encodedANAND/Employee-Attrition

hanaecarrie/EE5907_PatternRecognition

NUS Pattern Recognition module graded assignments

laelasbuch/Heart-Disease-Predictor-QDA

Heart Disease Predictor QDA Framingham Dataset

OceanicBlue730/Dimensionality-Reduction

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

prathmachowksey/Fisher-Linear-Discriminant-Analysis

Implementation of Fisher Linear Discriminant Analysis in Python

vaibhav-sing-bisht/Gems-Holiday-Package-Prediction

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 linear discriminant analysis are tested. One has to predict if the customer will purchase the holiday package to target the relevant customer base. Skills and Tools Linear Regression, Logistic Regression, Linear discriminant Analysis

VarshithaCVasireddy/Customer_Sales_Revenue_Prediction

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

jElhamm/Linear-Discriminant-Analysis-Data-Mining

"This repository contains implementations of Linear Discriminant Analysis (LDA) algorithms for data mining tasks. Linear Discriminant Analysis is a dimensionality reduction technique used to find a linear combination of features that characterizes or separates classes of data."

MeghnathReddy/R-Data-Understanding

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

nbegumc/Supervised-Learning-Methods-Applied-to-Heart-Failure-Clinical-Records

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

Puneet2000/ML-Algorithms

Machine learning algorithms from scratch in python.