Machine Learning with Python
Completed by Andrei Kuzminykh
September 19, 2024
20 hours (approximately)
Andrei Kuzminykh'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: Supervised Learning
- Category: Logistic Regression
- Category: Machine Learning Algorithms
- Category: Model Optimization
- Category: Unsupervised Learning
- Category: Applied Machine Learning
- Category: Python Programming
- Category: Predictive Analytics
- Category: Predictive Modeling
- Category: Machine Learning Methods
- Category: Model Evaluation
- Category: Machine Learning
