Machine Learning with Python
Completed by Jack Jia Jing Sim
October 26, 2024
20 hours (approximately)
Jack Jia Jing Sim'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: Scikit Learn (Machine Learning Library)
- Category: Supervised Learning
- Category: Unsupervised Learning
- Category: Dimensionality Reduction
- Category: Model Training
- Category: Applied Machine Learning
- Category: Statistical Methods
- Category: Predictive Modeling
- Category: Machine Learning Algorithms
- Category: Model Evaluation
- Category: Machine Learning
- Category: Logistic Regression
