Machine Learning with Python
Completed by João Ricardo Nunes Sousa
January 3, 2024
20 hours (approximately)
João Ricardo Nunes Sousa'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: Regression Analysis
- Category: Logistic Regression
- Category: Classification Algorithms
- Category: Model Evaluation
- Category: Unsupervised Learning
- Category: Machine Learning Algorithms
- Category: Predictive Analytics
- Category: Machine Learning Methods
- Category: Model Training
- Category: Python Programming
- Category: Predictive Modeling
- Category: Dimensionality Reduction
