- Model Evaluation
- Jupyter
- Feature Engineering
- Regression Analysis
- Unsupervised Learning
- Artificial Intelligence
- Scikit Learn (Machine Learning Library)
- Predictive Modeling
- Classification Algorithms
- NumPy
- Python Programming
- Data Preprocessing
Supervised Machine Learning: Regression and Classification
Completed by Richard Lucas de Mendonça
April 30, 2024
33 hours (approximately)
Richard Lucas de Mendonça'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
