- Machine Learning
- Statistical Modeling
- Scikit Learn (Machine Learning Library)
- Data Transformation
- Classification And Regression Tree (CART)
- Feature Engineering
- Artificial Intelligence
- Predictive Modeling
- Jupyter
- Regression Analysis
- NumPy
- Supervised Learning
Supervised Machine Learning: Regression and Classification
Completed by NAYON MAZUMDER
September 16, 2024
33 hours (approximately)
NAYON MAZUMDER'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
