- Feature Engineering
- Regression Analysis
- Jupyter
- Machine Learning
- Model Evaluation
- Unsupervised Learning
- Supervised Learning
- Scikit Learn (Machine Learning Library)
- NumPy
- Logistic Regression
- Artificial Intelligence
- Data Preprocessing
Supervised Machine Learning: Regression and Classification
Completed by اسماء شعبان محمد العباسي
December 28, 2022
33 hours (approximately)
اسماء شعبان محمد العباسي'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
