What is feature engineering | Feature Engineering Tutorial Python # 1
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://resources.codebasics.io/qFO3NK for my affordable video courses. Feature Engineering Tutorial Python Playlist: • What is feature engineering | Feature Engi... Website: https://resources.codebasics.io/qFO3NK Facebook: / codebasicshub Twitter: / codebasicshub
Outlier detection and removal using percentile | Feature engineering tutorial python # 2
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Outlier detection and removal: z score, standard deviation | Feature engineering tutorial python # 3
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