Machine Learning with Python
Completed by RANI KUSUMA AFRIANI
September 28, 2021
20 hours (approximately)
RANI KUSUMA AFRIANI'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: Predictive Modeling
- Category: Scikit Learn (Machine Learning Library)
- Category: Classification Algorithms
- Category: Predictive Analytics
- Category: Python Programming
- Category: Machine Learning Methods
- Category: Model Evaluation
- Category: Dimensionality Reduction
- Category: Supervised Learning
- Category: Model Training
- Category: Decision Tree Learning
- Category: Statistical Machine Learning
