🪐 Repository for the Integrated Project of the Social Networks and Marketing course at PUC-SP, focusing on AI-driven analysis and marketing strategies based on social media data
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Updated
Jul 13, 2026 - Jupyter Notebook
🪐 Repository for the Integrated Project of the Social Networks and Marketing course at PUC-SP, focusing on AI-driven analysis and marketing strategies based on social media data
It is Internship program having the objective of developing a multiclass classification model for the prediction of post partum hemorrhage causes in Ethiopia
An end-to-end Machine Learning web application built with Flask and MySQL that uses an XGBoost Classifier and SMOTE class balancing to predict loan approval decisions with high accuracy (84.94%).
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