Machine Learning with Python
Completed by Radmir Sarsenov
July 15, 2020
20 hours (approximately)
Radmir Sarsenov'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: Scikit Learn (Machine Learning Library)
- Category: Machine Learning
- Category: Predictive Modeling
- Category: Applied Machine Learning
- Category: Python Programming
- Category: Regression Analysis
- Category: Unsupervised Learning
- Category: Model Evaluation
- Category: Classification Algorithms
- Category: Supervised Learning
- Category: Dimensionality Reduction
