Machine Learning Tutorial Python | Machine Learning For Beginners - What is feature engineering | Feature Engineering Tutorial Python # 1

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Feature engineering is an important area in the field of machine learning and data analysis. It helps in data cleaning process where data scientists and analysts spend most of their time on. Here are few examples of feature engineering techniques, 1) Outlier detection and removal 2) One hot encoding 3) Log transform 4) Dimensionality reduction using principal component analysis (a.k.a. PCA) 5) Handling missing values 6) Scaling In this video we will understand what is feature engineering by going over simple house price prediction example. This is a beginning of a tutorial series on feature engineering techniques. Do you want to learn technology from me? Check https://codebasics.io/ for my affordable video courses. Feature Engineering Tutorial Python Playlist: https://www.youtube.com/watch?v=pYVScuY-GPk&list=PLeo1K3hjS3ut5olrDIeVXk9N3Q7mKhDxO Website: https://codebasics.io/ Facebook: https://www.facebook.com/codebasicshub Twitter: https://twitter.com/codebasicshub