Machine Learning with Python
Completed by Abdullah Al Asif
September 28, 2024
20 hours (approximately)
Abdullah Al Asif '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: Regression Analysis
- Category: Model Evaluation
- Category: Python Programming
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Decision Tree Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Predictive Modeling
- Category: Supervised Learning
- Category: Dimensionality Reduction
- Category: Unsupervised Learning
