- Linear Regression
- Regularization to Avoid Overfitting
- Logistic Regression for Classification
- Gradient Descent
- Supervised Learning
Supervised Machine Learning: Regression and Classification
Completed by Gustavo Chavez
August 2, 2024
33 hours (approximately)
Gustavo Chavez'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
