Advanced Feature Engineering Techniques

This course introduces the concept of Feature Engineering which is the process of using domain knowledge to identify or create the essential features that have the most potent predictive power.

  • icon-data 2 Data Cases
  • icon-reading 1 Reading
  • icon-quiz 1 Quiz
Advanced Feature Engineering techniques
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    Difficulty: Beginner

    No prior education or professional experience required

  • Asset 1
    Duration: Approximately 2.5 hours

Course Overview

  • The course familiarizes the learner to develop a working understanding of how to apply feature engineering techniques that improves overall model performance.
  • Learn the various techniques of feature engineering, to identify features in the dataset that are beneficial for building machine learning model for the problem in hand.
  • The course deep dives into the concept of Forward Selection technique to select appropriate features for model building.
  • Learn to apply Backward Elimination technique for feature selection.

What’s included

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Lifetime Access

Access this project for life once completed

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Flexible Scheduling

Start learning online immediately, at your own pace

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Desktop Only

We recommend completing this project on a desktop

Skills you will learn

Introduction to Feature Importance

Forward Feature Selection & Backward Elimination

Benefits of Feature Selection

Data Science

EDA

Feature Engineering

Data Analysis

Associated Learning Tracks

Syllabus

This course discusses in detail the techniques such as Forward Feature selection, Backward Elimination and feature selection from model and provide datacases and quiz to validate your learnings.

How it Works

Learn new skills that will boost your career by enrolling in courses across data analytics, data science, ML and AI. These courses will utilize readings, videos, quizzes, data cases, and even coding exercises to teach you skills and concepts in a way that will solidify your new knowledge for hands-on application.

With our hands-on projects, you will take your newly learned skills along with our 750+ low-code/no-code functions and embedded coding console to complete milestone-based projects. Once completed, you will have effectively applied new skills and concepts to real-world data cases that can be translated directly into your career.

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