decision-trees ensemble-learning kmeans lasso-regression lda linear-discriminant-analysis linear-regression logistic-regression ml naive-bayes neural-network pca pca-analysis polynomial-regression quadratic-discriminant-analysis ridge-regression spline support-vector-machines svm

Machine Learning Course Practical Assignments

This repository contains 9 practical assignments of the Machine Learning course taught by Dr. Abolfazl Motahari in Spring semester of 2023 at Sharif Unviersity of Technology.

Assignments

The topic for each assignment is as follows:

Linear Regression
Linear Discriminant Analysis (LDA) & Quadratic Discriminant Analysis (QDA)
Logistic Regression
Naive Bayes
Lasso & Ridge Regression
Polynomial Regression & Splines
Decision Trees & Ensembles
(&9) Support Vector Machine (with different kernel types) & Principal component analysis (PCA) & K-means & Neural Net

About

This repository contains the practical assignments for the Machine Learning course taught by Dr.Mohsen Ansari in Spring semester of 2023 at Sharif University of Technology

decision-trees ensemble-learning kmeans lasso-regression lda linear-discriminant-analysis linear-regression logistic-regression ml naive-bayes neural-network pca pca-analysis polynomial-regression quadratic-discriminant-analysis ridge-regression spline support-vector-machines svm

Languages

Language:Jupyter Notebook 100.0%