- Algorithms
- Critical Thinking
- Mathematics
- Regression
- Supervised Learning
- Regularization to Avoid Overfitting
- Linear Regression
- Applied Machine Learning
- Machine Learning Algorithms
- Machine Learning
- Logistic Regression for Classification
- Gradient Descent
Supervised Machine Learning: Regression and Classification
Completed by Alexis Michaltsis
November 4, 2024
33 hours (approximately)
Alexis Michaltsis's account is verified. Coursera certifies their successful completion of Supervised Machine Learning: Regression and Classification
What you will learn
Build machine learning models in Python using popular machine learning libraries NumPy & scikit-learn
Build & train supervised machine learning models for prediction & binary classification tasks, including linear regression & logistic regression
Skills you will gain
