- Feature Engineering
- Scikit Learn (Machine Learning Library)
- Data Preprocessing
- Supervised Learning
- Machine Learning
- Model Evaluation
- Classification Algorithms
- Python Programming
- Jupyter
- Unsupervised Learning
- Regression Analysis
- Artificial Intelligence
Supervised Machine Learning: Regression and Classification
Completed by Deivid dos Santos Bento
November 9, 2022
33 hours (approximately)
Deivid dos Santos Bento'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
