This repository contains a collection of data science projects showcasing various machine learning techniques and their applications. Each project includes a Jupyter Notebook for exploration and implementation, along with corresponding datasets.
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ML-Based Lending Prediction
- File:
ML_based_lending_prediction.ipynb - Dataset:
lending_club_info.xls - Description: Implements machine learning models to assess lending risks.
- File:
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Loan Payment Prediction
- File:
Loan_payment_prediction_Decision Trees and Random Forest Project.ipynb - Dataset:
loan_data.xls - Description: Predicts loan repayment likelihood using decision trees and random forests.
- File:
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E-commerce Analysis and ML Prediction
- File:
Ecommerce_ML_Project.ipynb - Dataset:
Ecommerce Purchases - Description: Analyzes customer purchasing behavior and applies machine learning for prediction.
- File:
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Advertising Prediction (Logistic Regression)
- File:
Advertising prediction_Logistic Regression Project.ipynb - Dataset:
advertising.xls - Description: Predicts the effectiveness of advertising campaigns using logistic regression.
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- Clone the repository:
git clone https://github.com/shaadfazal/Data-Science-Projects.git