- Feature Engineering
- Python Programming
- Scikit Learn (Machine Learning Library)
- Supervised Learning
- Artificial Intelligence
- Regression Analysis
- Data Preprocessing
- Predictive Modeling
- Model Evaluation
- Jupyter
- Unsupervised Learning
- NumPy
Supervised Machine Learning: Regression and Classification
Completed by Laura Alejandra Goyeneche Cortes
January 11, 2024
33 hours (approximately)
Laura Alejandra Goyeneche Cortes'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
