Machine Learning with Python
Completed by Andrii Rusanov
December 1, 2022
20 hours (approximately)
Andrii Rusanov'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: Statistical Machine Learning
- Category: Decision Tree Learning
- Category: Unsupervised Learning
- Category: Predictive Analytics
- Category: Machine Learning Algorithms
- Category: Model Evaluation
- Category: Model Training
- Category: Dimensionality Reduction
- Category: Supervised Learning
- Category: Logistic Regression
- Category: Predictive Modeling
- Category: Scikit Learn (Machine Learning Library)
