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Feature Engineering for Machine Learning

star 4.45  Beginner level 1.5 learning hrs 847 Learners

Feature Engineering for Machine Learning

star 4.45  Beginner level 1.5 learning hrs 847 Learners
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Introduction to Feature Engineering

Under sampling

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Key Highlights

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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.

Course outline

Introduction to Feature Engineering

Concept of Undersampling and Oversampling

Hands-on exercise showing tuning of model

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Feature Engineering for Machine Learning

rating icon 4.45

1.5 Hours

Beginner

Sign up with Email
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847 learners enrolled so far

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Get free course content

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Master in-demand skills & tools

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Test your skills with quizzes

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Trusted by 10 Million+ Learners globally

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4.8
star

4.89
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4.94
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4.7

Learner reviews of the Free Courses

4.45
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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!
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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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