Machine Learning with Python
Completed by RODRIQUE KAFANDO
August 10, 2022
20 hours (approximately)
RODRIQUE KAFANDO'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: Dimensionality Reduction
- Category: Applied Machine Learning
- Category: Feature Engineering
- Category: Model Evaluation
- Category: Scikit Learn (Machine Learning Library)
- Category: Decision Tree Learning
- Category: Logistic Regression
- Category: Python Programming
- Category: Regression Analysis
- Category: Predictive Modeling
- Category: Supervised Learning
- Category: Unsupervised Learning
