Machine Learning with Python
Completed by Ali Ranjbar Ferdos
September 3, 2020
hours (approximately)
Ali Ranjbar Ferdos'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: Applied Machine Learning
- Category: Model Evaluation
- Category: Regression Analysis
- Category: Dimensionality Reduction
- Category: Logistic Regression
- Category: Machine Learning
- Category: Predictive Modeling
- Category: Feature Engineering
- Category: Classification Algorithms
- Category: Decision Tree Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Python Programming
