Put your data science skills into practice by working on machine learning projects using the classic `mtcars` dataset in R. This course provides hands-on experience with end-to-end solutions, from data preprocessing to model evaluation, ensuring you are prepared for real-world tasks.
Overview
Syllabus
- Lesson 1: Preprocessing and Exploring the mtcars Dataset
- Lesson 2: Splitting the Data and Feature Scaling
- Lesson 3: Building and Evaluating a Model
- Lesson 4: Making Predictions and Evaluating Performance
- Lesson 5: Visualizing Model Results and Feature Importance
- Lesson 6: Generalizing and Validating Models with Cross-Validation
