Machine Learning with Python
Completed by Jean-Lui Eith
March 7, 2024
20 hours (approximately)
Jean-Lui Eith'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: Unsupervised Learning
- Category: Regression Analysis
- Category: Decision Tree Learning
- Category: Model Evaluation
- Category: Python Programming
- Category: Applied Machine Learning
- Category: Logistic Regression
- Category: Classification Algorithms
- Category: Dimensionality Reduction
- Category: Supervised Learning
- Category: Feature Engineering
- Category: Predictive Modeling
