- Regression Analysis
- Artificial Intelligence
- Machine Learning
- Unsupervised Learning
- Scikit Learn (Machine Learning Library)
- Jupyter
- Model Evaluation
- Supervised Learning
- NumPy
- Classification Algorithms
- Predictive Modeling
- Logistic Regression
Supervised Machine Learning: Regression and Classification
Completed by RAZAN ABDULLAH RASHED ALDHAFIAN RAZAN ABDULLAH RASHED ALDHAFIAN
July 8, 2022
33 hours (approximately)
RAZAN ABDULLAH RASHED ALDHAFIAN RAZAN ABDULLAH RASHED ALDHAFIAN'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
