End To End Machine Learning Project-Part I
Designed and implemented a full-lifecycle machine learning pipeline to classify toxic online comments. The solution integrates datasets from Kaggle and YouTube, addressing severe class imbalance through Synthetic Minority Over-sampling Technique (SMOTE). Leveraged TF-IDF for feature extraction and trained a custom Neural Network using TensorFlow/Keras, successfully serializing the model for deployment readiness.