- Jupyter
- Artificial Intelligence
- Predictive Modeling
- Data Preprocessing
- Feature Engineering
- Machine Learning
- Supervised Learning
- Classification Algorithms
- Logistic Regression
- NumPy
- Model Evaluation
- Scikit Learn (Machine Learning Library)
Supervised Machine Learning: Regression and Classification
Completed by Tejas Dilip Jadhav
November 27, 2024
33 hours (approximately)
Tejas Dilip Jadhav'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
