Machine Learning with Python
Completed by Chinedu Chinedu-Okoro
December 16, 2024
20 hours (approximately)
Chinedu Chinedu-Okoro'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: Model Optimization
- Category: Machine Learning
- Category: Machine Learning Algorithms
- Category: Regression Analysis
- Category: Statistical Methods
- Category: Predictive Modeling
- Category: Logistic Regression
- Category: Applied Machine Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Supervised Learning
- Category: Model Training
- Category: Unsupervised Learning
