Machine Learning with Python
Completed by WAHIDUL ALAM RIYAD
June 7, 2020
20 hours (approximately)
WAHIDUL ALAM RIYAD'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: Scikit Learn (Machine Learning Library)
- Category: Logistic Regression
- Category: Supervised Learning
- Category: Predictive Modeling
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Dimensionality Reduction
- Category: Decision Tree Learning
- Category: Python Programming
- Category: Classification Algorithms
- Category: Regression Analysis
- Category: Model Evaluation
