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YouTubeIliana R.
Steps of a ML Project in Python #machinelearning #Python #SMOTE #ModelEvaluation #datacleaning #ml
This project shows a complete end-to-end Machine Learning workflow using Python. From data collection and cleaning to class balancing with SMOTE, model training, evaluation, hyperparameter tuning, and deployment. Each step follows best practices used in real-world ML projects: Train/Test split before resampling SMOTE applied only to training ...
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