Working with Numerical Data in Machine Learning

A concise guide to feature engineering for numerical data in machine learning. This video mentions key techniques for handling, preprocessing, and preparing numerical features for ML models, including scaling, normalization, clipping, binning, and other best practices used in data science and AI workflows. #dataanalysis #machinelearning #mlbasics