Machine Learning with Python
Completed by Mehran Khan
July 30, 2023
20 hours (approximately)
Mehran Khan'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: Scikit Learn (Machine Learning Library)
- Category: Logistic Regression
- Category: Dimensionality Reduction
- Category: Supervised Learning
- Category: Classification Algorithms
- Category: Model Evaluation
- Category: Predictive Modeling
- Category: Feature Engineering
- Category: Machine Learning
- Category: Python Programming
- Category: Applied Machine Learning
