Feature Engineering for Beginners | CodeSignal Learn

beginner

Feature Engineering for Beginners

Data

3 courses

57 practices

4 hours

Explore the essentials of feature engineering, from foundational techniques to advanced transformations. Learn feature selection and reduction techniques to enhance data quality, streamline workflows, and optimize model performance.

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Earn a shareable

Certificate of Achievement

Verified skills you'll gain

INTERMEDIATE

Data Cleaning and Preprocessing

INTERMEDIATE

Data Ingestion and Extraction

Tools you'll use

Numpy

Pandas

Python

Scikit-learn

Trusted by learners working at top companies

Course 1

Foundations of Feature Engineering

4 lessons

18 practices

Master the basics of feature engineering by learning to clean, handle missing data, scale, and normalize datasets. Prepare raw data for transformation and analysis, setting a solid foundation for advanced data engineering tasks.

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Course 2

Shaping and Transforming Features

4 lessons

18 practices

Transform raw data into meaningful features using encoding, binning, and interaction terms. Enhance dataset representation by uncovering relationships within the data, paving the way for more insightful analysis and model building.

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Course 3

Feature Selection, Reduction and Streamlining

5 lessons

21 practices

Identify impactful features, reduce dimensionality, and streamline datasets for analysis. Learn techniques to enhance model efficiency and performance by focusing on the most relevant data attributes.

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