Projects In Machine Learning

Overview

This repository contains end-to-end machine learning notebook projects across multiple domains:

Regression and tabular prediction
- BoardGameReviewPredictor.ipynb
Anomaly detection and fraud analytics
- CreditCardFraudDetection.ipynb
Natural language processing and text classification
- IntroToNLP.ipynb
- TextClassification.ipynb
Unsupervised learning and dimensionality reduction
- KMeans.ipynb
- PrincipalComponentAnalysis.ipynb
Computer vision
- ObjectDetection.ipynb
- ImageSuperResolution.ipynb

Detailed notebook-level documentation is available in NOTEBOOKS_CATALOG.md.

pip install numpy pandas matplotlib seaborn scikit-learn nltk torch torchvision opencv-python jupyter

jupyter notebook

Open any notebook and run cells from top to bottom.
Dataset notes:
- Some notebooks download data automatically (for example, MNIST/CIFAR through torchvision).
- Some notebooks expect local datasets/assets to be available in the project folders.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
.ipynb_checkpoints		.ipynb_checkpoints
.gitattributes		.gitattributes
BoardGameReviewPredictor.ipynb		BoardGameReviewPredictor.ipynb
CreditCardFraudDetection.ipynb		CreditCardFraudDetection.ipynb
ImageSuperResolution.ipynb		ImageSuperResolution.ipynb
IntroToNLP.ipynb		IntroToNLP.ipynb
KMeans.ipynb		KMeans.ipynb
NOTEBOOKS_CATALOG.md		NOTEBOOKS_CATALOG.md
ObjectDetection.ipynb		ObjectDetection.ipynb
PrincipalComponentAnalysis.ipynb		PrincipalComponentAnalysis.ipynb
README.md		README.md
TextClassification.ipynb		TextClassification.ipynb