- 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 Doğa Oytaç
February 11, 2024
33 hours (approximately)
Doğa Oytaç'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
