Machine Learning Basics
A comprehensive beginner-friendly course covering fundamental machine learning concepts, algorithms, and practical applications. Master supervised and unsupervised learning, model evaluation, and real-world implementation using Python and scikit-learn.
- Level: beginner
- Duration: 4-5 weeks
- 9 sections
- Price: Free
Topics: Machine Learning, Scikit-learn, Python, Supervised Learning, Unsupervised Learning, Data Science, Model Evaluation, Feature Engineering, Cross Validation, Regularization, Classification, Regression, Clustering, Beginner ML
What's inside
- Machine Learning Basics
- Chapter 1: Introduction to Machine Learning
- Chapter 2: Supervised Learning
- Chapter 3: Unsupervised Learning
- Chapter 4: Model Evaluation
- Chapter 5: Feature Engineering
- Chapter 6: Cross Validation
- Chapter 7: Overfitting and Regularization
- Chapter 8: Practical Applications