- Linear Regression
- Regularization to Avoid Overfitting
- Logistic Regression for Classification
- Gradient Descent
- Supervised Learning
Supervised Machine Learning: Regression and Classification
Completed by AXEL EMANUEL CASAS
July 31, 2022
33 hours (approximately)
AXEL EMANUEL CASAS'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
