- Feature Engineering
- Python Programming
- NumPy
- Statistical Modeling
- Predictive Modeling
- Jupyter
- Supervised Learning
- Classification And Regression Tree (CART)
- Artificial Intelligence
- Regression Analysis
- Data Transformation
- Scikit Learn (Machine Learning Library)
Supervised Machine Learning: Regression and Classification
Completed by BOGALA SIVA SANKAR REDDY
August 15, 2024
33 hours (approximately)
BOGALA SIVA SANKAR REDDY'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
