Machine Learning with Python
Completed by Sergio Garcia Busto
October 4, 2023
20 hours (approximately)
Sergio Garcia Busto'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: Logistic Regression
- Category: Supervised Learning
- Category: Python Programming
- Category: Feature Engineering
- Category: Dimensionality Reduction
- Category: Classification Algorithms
- Category: Scikit Learn (Machine Learning Library)
- Category: Regression Analysis
- Category: Model Evaluation
- Category: Predictive Modeling
- Category: Applied Machine Learning
- Category: Machine Learning
