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Machine Learning with R

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About This Course

Skills You’ll Get

Download Course Outline

1

Introduction

  • What Does This Course Cover?
2

What Is Machine Learning?

  • Discovering Knowledge In Data
  • Machine Learning Techniques
  • Model Selection
  • Model Evaluation
3

Introduction to R and RStudio

  • Welcome To R
  • R And RStudio Components
  • Writing And Running An R Script
  • Data Types In R
4

Managing Data

  • The tidyverse
  • Data Collection
  • Data Exploration
  • Data Preparation
5

Linear Regression

  • Bicycle Rentals And Regression
  • Relationships Between Variables
  • Simple Linear Regression
  • Multiple Linear Regression
  • Case Study: Predicting Blood Pressure
6

Logistic Regression

  • Prospecting For Potential Donors
  • Classification
  • Logistic Regression
  • Case Study: Income Prediction
7

k-Nearest Neighbors

  • Detecting Heart Disease
  • k-Nearest Neighbors
  • Case Study: Revisiting The Donor Dataset
8

Naïve Bayes

  • Classifying Spam Email
  • NAÏVE Bayes
  • Case Study: Revisiting The Heart Disease Detection Problem
9

Decision Trees

  • Predicting Build Permit Decisions
  • Decision Trees
  • Case Study: Revisiting The Income Prediction Problem
10

Evaluating Performance

  • Estimating Future Performance
  • Beyond Predictive Accuracy
  • Visualizing Model Performance
11

Improving Performance

  • Parameter Tuning
  • Ensemble Methods
12

Discovering Patterns with Association Rules

  • Market Basket Analysis
  • Association Rules
  • Discovering Association Rules
  • Case Study: Identifying Grocery Purchase Patterns
13

Grouping Data with Clustering

  • Clustering
  • k-Means Clustering
  • Segmenting Colleges With -Means Clustering
  • Case Study: Segmenting Shopping Mall Customers

Machine Learning with R

$ 139.99

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