- Artificial Intelligence
- Data Preprocessing
- Regression Analysis
- Predictive Modeling
- Model Evaluation
- Logistic Regression
- NumPy
- Classification Algorithms
- Python Programming
- Machine Learning
- Jupyter
- Feature Engineering
Supervised Machine Learning: Regression and Classification
Completed by Tejaswi Penta
September 2, 2024
33 hours (approximately)
Tejaswi Penta'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
