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Practical Machine Learning with the mtcars Dataset in R

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Overview

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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.

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

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