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1. Heart-Disease-Prediction Heart-Disease-Prediction Public

   This project develops a classification model to predict heart disease presence using medical features, data exploration, visualization, and machine learning.

   Jupyter Notebook

2. Bulldozer-Price-Prediction Bulldozer-Price-Prediction Public

   This project implements an end-to-end machine learning pipeline for predicting bulldozer prices, covering data preprocessing, feature engineering, model training, and evaluation.

   Jupyter Notebook

3. Dog-Breed-Prediction Dog-Breed-Prediction Public

   This project uses deep learning to classify dog breeds from images, leveraging data preprocessing, convolutional neural networks, and model evaluation techniques

   Jupyter Notebook

4. Depression-Prediction Depression-Prediction Public

   A binary classification solution for predicting depression using CatBoost and XGBoost (93.9% & 93.8% accuracy) from Kaggle Playground Series S4E11.

   Jupyter Notebook