Machine Learning –
Linear Regression

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 1 Videos
  • icon-data 6 Data Cases
  • icon-reading 2 Readings
  • icon-quiz 6 Quizzes
Machine Learning - Linear Regression
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    Difficulty: Intermediate

    Foundational knowledge or experience in statistics or analytics is recommended.

  • Asset 1
    Duration: Approximately 8.5 hours

Course Overview

  • Linear Regression is one of the most widely leveraged techniques, for obtaining future predictions and forecasts.
  • Learn the various stages of a predictive modeling framework.
  • Learn different aspects of building and evaluating a robust linear regression model.
  • Gain practical experience by applying the understanding on 6 real-world based business scenarios.

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

Data Cleaning

Feature Engineering

Model Building

Model Evaluation and Validation

Exploratory Data Analysis

Variable Selection

Variable Transformation

Overfitting

Associated Learning Tracks

Syllabus

Fundamentals of simple Linear Regression (OLS) – Exploratory Data Analysis, Model Iteration, R-square.

Multiple Linear Regression – Variable Transformations, Variable Selection, Overfitting, Evaluating the accuracy of the model.

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.

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