- 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 Franky Leonardo Prieto Tellez
September 22, 2024
33 hours (approximately)
Franky Leonardo Prieto Tellez '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
