Predict the enzyme class of a given FASTA sequence using deep learning methods including CNNs, LSTM, BiLSTM, GRU, and attention models along with a host of other ML methods.

A machine learning-based application for predicting cervical cancer using SMOTE (Synthetic Minority Over-sampling Technique) and RFERF (Recursive Feature Elimination with Random Forest).

⚖️ Day 54/60: Handling Imbalanced Data Imbalanced classes can bias models. Today I used SMOTE to create synthetic samples for the minority class, balancing the dataset. #DataScience #Python ...