Machine Learning with Python
Completed by Praneel Raghuraman
October 25, 2024
hours (approximately)
Praneel Raghuraman'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: Feature Engineering
- Category: Python Programming
- Category: Supervised Learning
- Category: Dimensionality Reduction
- Category: Regression Analysis
- Category: Predictive Modeling
- Category: Decision Tree Learning
- Category: Machine Learning
- Category: Model Evaluation
- Category: Logistic Regression
- Category: Unsupervised Learning
- Category: Applied Machine Learning
