Machine-Learning-Tasks-

This repository includes my course work for the machine learning Course SBE3042.

The repository contains 7 Notebooks on different Ml topics

A1 : introduction to ML

1- Loading and training a knn classifier on the Breast Cancer Wisconsin (Diagnostic) dataset

A2 : Regression

1- From scratch implementation for linear regression with regularization (L1,L2) 
2- Overfitting and underfitting concepts
3- Adding Regulariztion 

DTreport: Decision Trees from scratch

1- from scratch implementation of the iterative Dichotomiser algorithm u s i n g O O P c l a s s e s 
2- preform data cleaning on a sample data by grouping values into smaller bins using pandas
3-  compare between the implementation and scikit-builtin model using accuracy metrics and time

A4: Decision trees and regression

1- visualizing Trees

2- Grid search and cross validation
3- Decision Boundaries

A5: Clustering

1- implement Kmeansm kemdoids and elbow method.

2- DBSCAN clustering

A6: SVM and dimensionality reduction

1- PCA implementation 

2- SVM classifier theory and decisoin boundaries 

3- hyperparameter tuning 

A7: recommender system

1- Movie recommender system using Cosine similarity approach
2- get recommendation according to similar users or similar movies