Machine Learning with Python
Completed by ARSHAD ABEDIN ABIR
February 18, 2024
20 hours (approximately)
ARSHAD ABEDIN ABIR'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: Unsupervised Learning
- Category: Applied Machine Learning
- Category: Python Programming
- Category: Logistic Regression
- Category: Dimensionality Reduction
- Category: Model Evaluation
- Category: Feature Engineering
- Category: Regression Analysis
- Category: Decision Tree Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Classification Algorithms
- Category: Predictive Modeling
