Machine Learning with Python
Completed by Hyojun Bae
June 25, 2024
20 hours (approximately)
Hyojun Bae'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: Regression Analysis
- Category: Dimensionality Reduction
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Machine Learning Methods
- Category: Model Training
- Category: Unsupervised Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Logistic Regression
- Category: Predictive Modeling
- Category: Machine Learning Algorithms
