Machine Learning with Python
Completed by sabah aljajeh
November 28, 2023
20 hours (approximately)
sabah aljajeh'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: Supervised Learning
- Category: Feature Engineering
- Category: Logistic Regression
- Category: Model Evaluation
- Category: Predictive Modeling
- Category: Applied Machine Learning
- Category: Decision Tree Learning
- Category: Unsupervised Learning
- Category: Dimensionality Reduction
- Category: Scikit Learn (Machine Learning Library)
- Category: Classification Algorithms
