Machine Learning with Python
Completed by Swagata Duari
March 14, 2020
20 hours (approximately)
Swagata Duari'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: Applied Machine Learning
- Category: Supervised Learning
- Category: Classification Algorithms
- Category: Logistic Regression
- Category: Model Evaluation
- Category: Decision Tree Learning
- Category: Python Programming
- Category: Machine Learning
- Category: Unsupervised Learning
- Category: Predictive Modeling
- Category: Scikit Learn (Machine Learning Library)
