ML_Portfolio

ML Portfolio | Bushra Rahman

CS 4375 (Intro to Machine Learning) | UTD Spring 2023

GitHub Pages link: https://br815.github.io/ML_Portfolio/

Portfolio 0: Overview of ML

• Instructions
• Writeup: Overview of ML

Portfolio 1: Data Exploration

• Instructions
• Writeup: Data Exploration
• Code: data_exploration.cpp

Portfolio 2: Linear Models

• Instructions
• R Notebook 1: Regression
• R Notebook 2: Classification
• vgsales.csv: dataset

Portfolio 3: Classification Algorithms from Scratch

• Instructions
• Code*:
  • Logistic Regression: logreg.cpp
  • Naive Bayes: nb.cpp
• Writeup: Classification from Scratch

*Not finalized

Portfolio 4: Similarity and Ensemble

• Instructions
• R Notebook: Regression - Aarya Patil
• R Notebook: Classification - Sovanna Ramirez
• R Notebook: Clustering - Bushra Rahman
  • vgsales.csv: dataset
• R Notebook: PCA & LDA - Vedant Prakash
• Writeup: Similarity Algorithms - Marcela Pantoja

Portfolio 5: Python ML with SKLearn

• Instructions
• Python Notebook: ML with SKLearn

Portfolio 6: Image Classification with DL

• Instructions
• Code*

*Not finalized

Portfolio 7: ML Portfolio Summary

• Instructions
• Writeup: ML Portfolio Summary

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