Machine Learning with Imbalanced Data: Master Over Sampling, Under SMOTE, Ensembles, and Cost Sensitive Techniques to Boost Model Performance

Machine Learning Engineering with Python: Algorithms, Data Processing, and Deployment Techniques

Practical Data Modeling and Machine Learning with Python: From Preparation to Model Evaluation Optimization

End-to-End Machine Learning with Python: From Data Engineering to Model Deployment and Continuous