Mlflow-Bank-Marketing

SVM, Logistic Regression, K-Nearest Neighbors Classifier, GaussianNB, Random Forest, XGBoost, DecisionTree Classifier, Ensembled Classifier, ExtraTrees Classifier, Voting Classifier

Different models to detect if a claim is fraudulent or not

This project explores ML techniques across classification and regression. It includes penguin species classification, breast cancer prediction, and baseball performance prediction using regularization. After, I will develop an XGBoost model for hotel cancellation prediction, analyzing key booking factors and optimizing performance. (In Progress)

Expresso Churn Prediction Challenge - dealing with imbalanced dataset

Projeto de MLops com MLflow

Welcome to my Lets Grow More internship project repository! Explore a collection of data science and business analytics projects showcasing my skills in predictive modeling, classification, and forecasting. Each project features a detailed Jupyter Notebook with code and visualizations. Join me on this data-driven journey!

A full-scale project for predicting credit card default using supervised machine learning and deep learning techniques on the UCI dataset. The workflow includes exploratory data analysis, feature engineering, model benchmarking, and performance evaluation.