- Feature Engineering
- Supervised Learning
- Regression Analysis
- Scikit Learn (Machine Learning Library)
- Predictive Modeling
- Model Evaluation
- Unsupervised Learning
- Classification Algorithms
- Logistic Regression
- NumPy
- Python Programming
- Jupyter
Supervised Machine Learning: Regression and Classification
Completed by Rony Rangel dos Santos Silva
April 4, 2024
33 hours (approximately)
Rony Rangel dos Santos Silva'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
