Machine Learning with Python
Completed by Ryan Fu-Sum
May 31, 2024
20 hours (approximately)
Ryan Fu-Sum's account is verified. Coursera certifies their successful completion of Machine Learning with Python
What you will learn
Explain key concepts, tools, and roles involved in machine learning, including supervised and unsupervised learning techniques.
Apply core machine learning algorithms such as regression, classification, clustering, and dimensionality reduction using Python and scikit-learn.
Evaluate model performance using appropriate metrics, validation strategies, and optimization techniques.
Build and assess end-to-end machine learning solutions on real-world datasets through hands-on labs, projects, and practical evaluations.
Skills you will gain
- Category: Logistic Regression
- Category: Python Programming
- Category: Model Evaluation
- Category: Applied Machine Learning
- Category: Statistical Machine Learning
- Category: Model Training
- Category: Decision Tree Learning
- Category: Machine Learning Algorithms
- Category: Predictive Modeling
- Category: Classification Algorithms
- Category: Dimensionality Reduction
- Category: Supervised Learning
