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1. Coffee-Shop-Revenue-Regression Coffee-Shop-Revenue-Regression Public

   This project builds a regression model to predict the daily revenue of a coffee shop based on various operational features such as customer count, average order value, marketing spend, and foot tra…

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2. Mushrooms-Classification Mushrooms-Classification Public

   This project explores classifying mushrooms as edible or poisonous using various ML algorithms. It includes data preprocessing, feature encoding, model training with KNN, Decision Trees, Random For…

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3. Drug200-Classification Drug200-Classification Public

   Used KNN, Decision Tree, and Random Forest to classify patients in the Drug200 dataset based on age, sex, BP, cholesterol, and Na-to-K ratio. The goal was to predict the most suitable drug from fiv…

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4. Mall-Customers-Clustering Mall-Customers-Clustering Public

   Mall Customer Segmentation using clustering algorithms (K-Means, DBSCAN, Hierarchical). This project explores and compares different methods to group customers based on demographics and spending, h…

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