R and Data Files from my YouTube Channel
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Updated
Sep 2, 2024 - R
R and Data Files from my YouTube Channel
Implementation of Machine Learning Algorithms (KNN, Linear, Logistic, SVM, K-Means, Decision Tree, Naive Bayes) from Scratch using Python & Numpy only
Autoencoder model implementation in Keras, trained on MNIST dataset / latent space investigation.
Applying different machine learning algorithms on PCGA Prostate Cancer Gene Dataset for Feature Selection, Dimensional Reduction and Classification and Regression
LDA(Linear Discriminant Analysis) for Seed Dataset
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/)
Analysing different dimensionality reduction techniques and svm
Continuation of my machine learning works based on Subjects....starting with Evaluating Classification Models Performance
Various Machine learning algorithms
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.
Diabetes detection in patients using different machine learning techniques and comparing the algorithms based on confusion matrix and other metrics.
Analyze a dataset on muscular dystrophy and make statistical inferences
Machine learning algorithms from scratch in python.
Using classification algorithms to predict the geographical origin of an individual.
Data Understanding using- PCA, LDA, tSNE, and UMAP.
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.
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.
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