As you become more proficient with regression models, this course will introduce you to more advanced models available in the Scikit-Learn library. Explore popular machine learning algorithms, including Support Vector Machines, decision trees, random forest and neural networks.
Overview
Syllabus
- Lesson 1: Mastering Predictive Modeling with SVM in Python
- Lesson 2: Understanding and Applying Decision Tree Regression
- Lesson 3: Mastering Predictions with Random Forest Classifier in Python
- Lesson 4: Diving into Neural Networks with Python
- Lesson 5: Balancing Act: Overfitting and Underfitting in Machine Learning Models
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