Machine Learning – Segmentation

This course is designed to provide a comprehensive understanding of Linear Regression Models.  Learners will explore aspects of model building and practical implementation of Linear Regression Models in real-world business scenarios.

  • icon-videos 8 Videos
  • icon-data 13 Data Cases
  • icon-reading 3 Readings
  • icon-quiz 12 Quizzes
Machine Learning - Segmentation
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    Difficulty: Intermediate

    Foundational knowledge or experience in statistics or analytics is recommended.

  • Asset 1
    Duration: Approximately 8 hours

Course Overview

  • Segmentation is a widely used technique for dividing data into sub-groups.
  • Market segmentation which is a specialized case of segmentation that helps in improving marketing efforts and efficient resources planning to reach the most valuable audiences and achieving desired business goals.
  • Learn both objective and subjective segmentation and the scenarios in which they are applicable.
  • Gain practical experience by applying the understanding in 6 real-world business cases.

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

Machine Learning

Feature Engineering

Understanding Unsupervised Learning

Exploratory Data Analysis

Model Building

Hierarchical Clustering

Non-Hierarchical Clustering

Decision Tree

Naive Bayes Classification

Associated Learning Tracks

Syllabus

Concepts of – Hierarchical clustering and non- hierarchical clustering.

Concepts of – Decision tree and Naive Bayes Classification.

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.

Complete assessments and track your progress in real-time to benchmark your proficiency in relation to key functional areas. As you progress through your courses, our patented platform will utilize ML and AI to record and analyze your inputs and output to provide active feedback and recommendations that will help you learn more effectively than the standard Letter Grade system used today.

Complete courses to earn sharable certificates and badges. These awarded items will be look great in your portfolio as you showcase your skills and project experience to employers and colleagues.

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