Machine Learning with Python
Completed by Oswaldo Limbert Zárate Condori
July 18, 2021
20 hours (approximately)
Oswaldo Limbert Zárate Condori'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: Predictive Modeling
- Category: Supervised Learning
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Python Programming
- Category: Scikit Learn (Machine Learning Library)
- Category: Logistic Regression
- Category: Machine Learning Algorithms
- Category: Unsupervised Learning
- Category: Decision Tree Learning
- Category: Machine Learning
- Category: Regression Analysis
