Machine Learning with Python
Completed by Muhammad Adan Nasir
March 11, 2023
20 hours (approximately)
Muhammad Adan Nasir'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: Supervised Learning
- Category: Dimensionality Reduction
- Category: Predictive Modeling
- Category: Model Evaluation
- Category: Machine Learning Methods
- Category: Model Optimization
- Category: Regression Analysis
- Category: Classification Algorithms
- Category: Predictive Analytics
- Category: Python Programming
- Category: Unsupervised Learning
- Category: Model Training
