Stage 3: Data and Feature Engineering

Free feature engineering course on YouTube covering core techniques like one-hot encoding, feature scaling, and missing value imputation.

A comprehensive data mining tutorial provided by GeeksforGeeks, covering core techniques such as the ETL process, exploratory data analysis, and clustering classification. Suitable for beginners and professionals to learn the fundamentals of data mining.

A comprehensive data analysis tutorial provided by GeeksforGeeks, covering a complete learning path from basic concepts to practical applications, including core skills such as data processing, cleaning, and visualization.

A curated list of feature engineering techniques and resources for machine learning, covering feature engineering methods and tools for various data types such as numerical, text, image, categorical, and time series.

A comprehensive data science learning curriculum provided by freeCodeCamp, consisting of 20 modules covering core concepts such as Python programming, statistics, data analysis, machine learning, and data visualization, with a total duration of over 100 hours.

A complete guide covering data preprocessing, feature creation, transformation, and optimization with over 70 Python feature engineering recipes.