Machine Learning with Python
Completed by Jirayu Kaewprateep
March 25, 2023
20 hours (approximately)
Jirayu Kaewprateep'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: Predictive Modeling
- Category: Unsupervised Learning
- Category: Python Programming
- Category: Feature Engineering
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Decision Tree Learning
- Category: Dimensionality Reduction
- Category: Logistic Regression
- Category: Model Evaluation
- Category: Supervised Learning
- Category: Scikit Learn (Machine Learning Library)
