Data Science
125 learners
Introduction to Machine Learning with caret
Embark on your data science journey with the introduction to machine learning using the caret package in R. This course guides you through essential steps like data preprocessing, splitting datasets, training simple models, and evaluating their basic performance.
R
5 lessons
25 practices
2 hours
Machine Learning and Predictive Modeling
Lessons and practices
Apply Log Transformation to Data
Fix the Data Preprocessing Code
Preprocess the Iris Dataset
Preprocessing with Transformations
Data Preparation in R
Adjust the Data Split Ratio
Fix the Data Split Issue
Dataset Splitting Practice
Splitting Iris Dataset Practice
Splitting Dataset from Scratch
Switching to Decision Trees
Fix the SVM Model Code
Fill in the Missing Pieces
Train SVM with Key Predictors
Training a Linear SVM Model
Evaluate Performance with a New Model
Fix Prediction and Evaluation Code
Evaluate Model Predictions with R
Evaluate SVM Model Predictions for iris
Model Prediction and Evaluation
Change Model and Cross-Validation
Find and Fix Code Mistakes
Defining Cross-Validation Parameters
Cross-Validation in Action
Cross-Validation Mastery Test
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