statistical learning course by dr. Mohammad zade at Sharif Uni. of Tech
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Updated
Jul 27, 2021 - Jupyter Notebook
statistical learning course by dr. Mohammad zade at Sharif Uni. of Tech
A synchronous Kernels-only competition
This repository contains Jupyter Notebook file containing the code to compare different sklearn classifiers on a dataset. Then it saves the output .png results in the working folder.
Statistical machine learning
Linear Discriminant Analysis
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)
Working through all the exercises for An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.
Code for the chapter published in the Statistical learning book by Elsevier publication.
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. Here, the aim is to analyze the dataset and detect the fradulent transactions.
Comparison of several different models for identification of refugee locations following the 2010 Haiti Earthquake.
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.
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.
Boiled egg problems (Solve with LDA, QDA, Naive Bayes Classifiers, decision tree, pruned decision tree)
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
Implementation of LDA and QDA classifiers using the Iris dataset. Includes data normalization, training, testing, and accuracy measurement.
Binary Classification Models On Skin Dataset
Heart Failure Prediction for Harvard University Professional Certificate in Data Science Capstone Project, 2nd Capstone Project using R programming
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