Machine Learning with Python
Completed by Nimish Bahuguna
April 12, 2020
20 hours (approximately)
Nimish Bahuguna'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: Machine Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Logistic Regression
- Category: Feature Engineering
- Category: Decision Tree Learning
- Category: Predictive Modeling
- Category: Classification Algorithms
- Category: Supervised Learning
- Category: Python Programming
- Category: Applied Machine Learning
- Category: Dimensionality Reduction
- Category: Unsupervised Learning
