Machine Learning with Python
Completed by Tabshir Bin Bashar
November 23, 2019
20 hours (approximately)
Tabshir Bin Bashar'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: Decision Tree Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Unsupervised Learning
- Category: Machine Learning Algorithms
- Category: Applied Machine Learning
- Category: Python Programming
- Category: Predictive Modeling
- Category: Logistic Regression
- Category: Machine Learning Methods
- Category: Supervised Learning
- Category: Classification Algorithms
- Category: Predictive Analytics
