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Name: Feature Engineering for Machine Learning
Rating: 4.45 (75 reviews)

Feature Engineering for Machine Learning

4.45

Ratings

Beginner

Level

1.5 Hrs

Learning hours

830

Learners

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Feature Engineering for Machine Learning

1.5 Learning Hours . Beginner

Skills you will 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

Get free course content

Learn at your own pace

Master in-demand skills & tools

Test your skills with quizzes

Feature Engineering for Machine Learning

1.5 Learning Hours . Beginner

Trusted by 10 Million+ Learners globally

4.8

4.89

4.94

4.7

Learner reviews of the Free Courses

4.45

★★★★

★ ☆

★

74%

★

☆

10%

★

☆

★

☆

★

☆

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!

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.

What our learners enjoyed the most

Instructor

70%

70% of learners liked instructor's teaching style

Skill & tools

66%

66% of learners found all the desired skills & tools

Topic depth

61%

61% of learners liked the in-depth coverage of topics

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