- Logistic Regression
- Artificial Intelligence
- Predictive Modeling
- Jupyter
- Supervised Learning
- Unsupervised Learning
- Classification Algorithms
- Python Programming
- Scikit Learn (Machine Learning Library)
- Feature Engineering
- NumPy
- Machine Learning
Supervised Machine Learning: Regression and Classification
Completed by CHEEMA NIKHIL TEJA
August 9, 2022
33 hours (approximately)
CHEEMA NIKHIL TEJA '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
