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Great Learning
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Machine Learning

Feature Engineering for Machine Learning

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

4.45

Ratings

Beginner

Level

1.5 Hrs

Learning hours

764

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Feature Engineering for Machine Learning

1.5 Learning Hours . Beginner

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

Trusted by 10 Million+ Learners globally

4.8

4.89

4.94

4.7

What our learners say about the course

Find out how our platform helped our learners to upskill in their career.

4.45

★★★★

★ ☆

Course Rating

★

74%

★

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10%

★

☆

★

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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

Ratings & Reviews of this Course

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.

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Feature Engineering for Machine Learning

1.5 Learning Hours . Beginner

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