Machine Learning with Python
Completed by Faizan Munsaf
June 29, 2022
20 hours (approximately)
Faizan Munsaf'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: Python Programming
- Category: Decision Tree Learning
- Category: Predictive Modeling
- Category: Regression Analysis
- Category: Unsupervised Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Feature Engineering
- Category: Model Evaluation
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Logistic Regression
- Category: Dimensionality Reduction
