- Scikit Learn (Machine Learning Library)
- Machine Learning Algorithms
- Data Analysis
- Regression Analysis
- Applied Machine Learning
- Performance Tuning
- Data Science
- Logistic Regression
- Decision Tree Learning
- Feature Engineering
- Classification Algorithms
- Model Evaluation
Introduction to Machine Learning: Supervised Learning
Completed by Ivan Loginov
October 28, 2023
40 hours (approximately)
Ivan Loginov's account is verified. Coursera certifies their successful completion of Introduction to Machine Learning: Supervised Learning
What you will learn
Use modern machine learning tools and python libraries.
Compare logistic regression’s strengths and weaknesses.
Explain how to deal with linearly-inseparable data.
Explain what decision tree is & how it splits nodes.
Skills you will gain
