- Data Analysis
- Supervised Learning
- Python Programming
- Logistic Regression
- Performance Tuning
- Regression Analysis
- Data Science
- Applied Machine Learning
- Model Evaluation
- Machine Learning Algorithms
- NumPy
- Machine Learning
Introduction to Machine Learning: Supervised Learning
Completed by Srujana Palli
September 2, 2023
40 hours (approximately)
Srujana Palli'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
