Machine Learning with Python
Completed by ABDULMALIK DANLAMI MOHAMMED
April 24, 2023
20 hours (approximately)
ABDULMALIK DANLAMI MOHAMMED'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: Python Programming
- Category: Scikit Learn (Machine Learning Library)
- Category: Decision Tree Learning
- Category: Regression Analysis
- Category: Machine Learning
- Category: Feature Engineering
- Category: Model Evaluation
- Category: Dimensionality Reduction
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Logistic Regression
- Category: Classification Algorithms
