analysis of PimaIndiansDiabetes dataset in R, utilizing multivariate data techniques of QDA, PCA, factor analysis
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Updated
Aug 7, 2024
analysis of PimaIndiansDiabetes dataset in R, utilizing multivariate data techniques of QDA, PCA, factor analysis
Implementation of LDA and QDA classifiers using the Iris dataset. Includes data normalization, training, testing, and accuracy measurement.
Free open collaborative data analysis software
Statistical Pattern Recognition (classic machine learning)
Project of a coursework - Multivariate Analysis (M.Stat Semester 2) under the supervision of Prof. Swagata Nandi. (Project Group : Adrija Saha, Shrayan Roy, Sampurna Mondal)
EEG classification project. Uses a variety of classifiers and methods to parse EEG data.
This project uses a machine learning QDA model to predict the carrier of commercial airline flights.
Hotel Booking Cancelations Prediction notebook. Machine learning techniques: supervised learning and classification using Logistic Regression, K-NN, LDA and QDA
Boiled egg problems (Solve with LDA, QDA, Naive Bayes Classifiers, decision tree, pruned decision tree)
The goal of this disaster relief project was to test supervised learning algorithms on imagery data collected after the 2010 Haiti earthquake, in order to locate and provide aid to survivors as quickly as possible.
In this project, I use several different classification algorithms to predict whether a patient has breast cancer or not. This project uses K-fold cross validation, logistic regression, LDA, QDA, SVM, and model tuning techniques to achieve a 96% accuracy rate. This project was completed via R Markdown and LaTex.
Code for the chapter published in the Statistical learning book by Elsevier publication.
Comparison of several different models for identification of refugee locations following the 2010 Haiti Earthquake.
Simple Machine Learning and Data Science projects as tutorials.
A simple 1-dimensional Gaussian Naïve Bayes Classifier.
Working through all the exercises for An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.
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