Machine Learning with Python
Completed by Sina Akhbari
April 30, 2023
20 hours (approximately)
Sina Akhbari'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: Machine Learning Algorithms
- Category: Logistic Regression
- Category: Supervised Learning
- Category: Applied Machine Learning
- Category: Unsupervised Learning
- Category: Dimensionality Reduction
- Category: Predictive Modeling
- Category: Model Optimization
- Category: Machine Learning
- Category: Regression Analysis
- Category: Python Programming
- Category: Model Evaluation
