- Artificial Intelligence
- Predictive Modeling
- Jupyter
- Scikit Learn (Machine Learning Library)
- Feature Engineering
- NumPy
- Supervised Learning
- Classification And Regression Tree (CART)
- Data Transformation
- Applied Machine Learning
- Machine Learning
- Regression Analysis
Supervised Machine Learning: Regression and Classification
Completed by Mirza Abdullah Al Noman
October 18, 2024
33 hours (approximately)
Mirza Abdullah Al Noman'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
