How Do Machine Learning Models Learn? An Overview from Data Preparation to Training, Evaluation, and Prediction

When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," ...

Differences Between Training, Validation, and Test Data — Connections to Loss, Overfitting, and Regularization

When you hear "let's split the data into training, validation, and test sets," it might feel like a preliminary step in ...
GitHub

FloodLens BD — GP-03

GP-03 climate-risk prototype with explainable scenarios and a Python-trained historical river-level backtest. Solo project by MD Zakir Hossain. - mdzakirhossen23/floodlens-bd ...