- 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 Gadivemula Venkata Naga Sai Sreekar
May 2, 2023
33 hours (approximately)
Gadivemula Venkata Naga Sai Sreekar'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
