Delve into machine learning fundamentals using the Wisconsin Breast Cancer Dataset. This course focuses on key ML techniques like data exploration, model tuning, and evaluation. Master hyperparameter tuning, regularization, and ensemble methods through practical exercises to boost your predictive models' accuracy and reliability.
Overview
Syllabus
- Lesson 1: Exploring the Wisconsin Breast Cancer Dataset
- Lesson 2: Hyperparameter Tuning in Logistic Regressions
- Lesson 3: Optimizing Decision Trees with Hyperparameter Tuning
- Lesson 4: Regularization Techniques in Machine Learning: Enhancing Model Generalization
- Lesson 5: Elevating Predictive Models with RandomForest and GradientBoosting Techniques
- Lesson 6: Mastering Model Evaluation: Performance Metrics & Selection in Machine Learning
