Machine Learning Fundamentals with Python
IntermediateAssumes foundational knowledge. Builds on basics.
Master machine learning from the ground up. Learn supervised and unsupervised learning, build models with scikit-learn, and understand the intuition behind algorithms like linear regression, decision trees, and neural networks. Hands-on Python exercises with real datasets.
Contenido del Curso
13 módulos • 35 lecciones
1
Course Introduction
1 lecciones2
Module 1: What is Machine Learning?
3 lecciones3
Module 2: Types of Machine Learning
3 lecciones4
Module 3: Your ML Toolkit
3 lecciones5
Module 4: Linear Regression
3 lecciones6
Module 5: Classification Basics
3 lecciones7
Module 6: Decision Trees and Random Forests
3 lecciones8
Module 7: Model Evaluation and Metrics
3 lecciones9
Module 8: Train/Test Splits and Cross-Validation
3 lecciones10
Module 9: Feature Engineering Basics
3 lecciones11
Module 10: Intro to Neural Networks
3 lecciones12
Module 11: Capstone Project
3 lecciones13
Course Conclusion
1 lecciones
