Machine Learning with Python
Completed by Sowunari Ikiriko
May 22, 2023
20 hours (approximately)
Sowunari Ikiriko'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: Dimensionality Reduction
- Category: Machine Learning Algorithms
- Category: Logistic Regression
- Category: Model Evaluation
- Category: Regression Analysis
- Category: Applied Machine Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Unsupervised Learning
- Category: Predictive Modeling
- Category: Machine Learning
- Category: Model Optimization
