Course topic

Feature Engineering

Also indexed asfeature creation · feature selection · ml features

Learn to create and select optimal features from raw data to significantly enhance the performance of machine learning models.

Also indexed asfeature creation · feature selection · ml features

Courses indexed: 26
Live offers: 4

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Quan Wang

1 course

Speaker Recognition | By Award Winning Textbook Author

(4.47 with 304 reviews)

Course topic

Feature Engineering

Also indexed asfeature creation · feature selection · ml features

Learn to create and select optimal features from raw data to significantly enhance the performance of machine learning models.

Also indexed asfeature creation · feature selection · ml features

Courses indexed: 26
Live offers: 4

Catalog controls

Quan Wang

1 course

Speaker Recognition | By Award Winning Textbook Author

(4.47 with 304 reviews)

Feature Engineering

Speaker Recognition | By Award Winning Textbook Author

Price & availability

Course Type

Last Course Update

Feature Engineering

Speaker Recognition | By Award Winning Textbook Author

Price & availability

Course Type

Last Course Update

Databricks Certified ML Associate: 3 Practice Exams : 2026

Машинное обучение: выделение факторов на Python

Certification in Computer Vision

XGBoost Deep Dive w/ Python & Pandas | Hands-on Data Science

Dive Into Learning From Data: MNIST with Logistic Regression

データサイエンティスト虎の穴講座　第5回

Data Manipulation and PCA (Principal Component Analysis )

Data Preprocessing and Exploratory Data Analysis (EDA)

Machine Learning for Job Interviews Hindi : Zero to Hero

Machine Learning Optimization Using Genetic Algorithm

Python for Linear Regression in Machine Learning

Speaker Recognition | By Award Winning Textbook Author

Speaker Recognition | By Award Winning Textbook Author

Databricks Certified ML Associate: 3 Practice Exams : 2026

Машинное обучение: выделение факторов на Python

Certification in Computer Vision

XGBoost Deep Dive w/ Python & Pandas | Hands-on Data Science

Dive Into Learning From Data: MNIST with Logistic Regression

データサイエンティスト虎の穴講座 第5回

Data Manipulation and PCA (Principal Component Analysis )

Data Preprocessing and Exploratory Data Analysis (EDA)

Machine Learning for Job Interviews Hindi : Zero to Hero

Machine Learning Optimization Using Genetic Algorithm

Python for Linear Regression in Machine Learning

Topics related to Feature Engineering

データサイエンティスト虎の穴講座　第5回