Machine Learning with Python
Completed by ARCHIT JAIN
July 25, 2025
20 hours (approximately)
ARCHIT JAIN'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: Applied Machine Learning
- Category: Decision Tree Learning
- Category: Predictive Analytics
- Category: Supervised Learning
- Category: Python Programming
- Category: Regression Analysis
- Category: Logistic Regression
- Category: Machine Learning Algorithms
- Category: Statistical Machine Learning
- Category: Model Training
- Category: Unsupervised Learning
