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Feature Engineering for Machine Learning

4.45
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Beginner

Level

1.5 Hrs

Learning hours

778

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Feature Engineering for Machine Learning

1.5 Learning Hours . Beginner

Enrol free with email

Skills you’ll Learn

Introduction to Feature Engineering
Under sampling
Over sampling

About this course

Feature Engineering is to extract the features from the data and substitute them in the algorithms.This course will help you to understand the concept of upsampling, downsampling, SMOTE, etc. Also, the course will help you understand to build the model using logistic regression and make you understand the confusion matrix.

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Course Outline

Introduction to Feature Engineering
Concept of Undersampling and Oversampling
Hands-on exercise showing tuning of model

Earn a certificate of completion

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Get free course content

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Learn at your own pace

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Test your skills with quizzes

Feature Engineering for Machine Learning

1.5 Learning Hours . Beginner

Enrol free with email
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Trusted by 10 Million+ Learners globally

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Learner reviews of the free Machine Learning course

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Reviewer Profile
Vishal Randhawa

5.0

★★★★ ★
Insightful and Well-Structured Course
I enjoyed the detailed curriculum and the instructor's teaching approach. The quizzes and assignments were challenging and helped solidify my understanding of feature engineering concepts. The course is easy to follow and perfect for anyone looking to dive deeper into this topic. Highly recommended!
Reviewer Profile
Bandana Tigela

5.0

★★★★ ★
Comprehensive Guide to Feature Engineering and Model Tuning
I enjoyed the thorough explanation of feature engineering and how it relates to improving model accuracy. The course also did a great job of covering model tuning with practical examples. I would have liked more exercises using diverse datasets to deepen my understanding further.

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