Machine Learning with Python
Completed by Marco Contreras Solis
April 15, 2024
20 hours (approximately)
Marco Contreras Solis'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: Machine Learning Algorithms
- Category: Applied Machine Learning
- Category: Model Optimization
- Category: Machine Learning
- Category: Statistical Methods
- Category: Predictive Modeling
- Category: Scikit Learn (Machine Learning Library)
- Category: Dimensionality Reduction
- Category: Python Programming
- Category: Classification Algorithms
- Category: Regression Analysis
