- Machine Learning
- Artificial Intelligence
- Scikit Learn (Machine Learning Library)
- Classification Algorithms
- NumPy
- Predictive Modeling
- Data Preprocessing
- Model Evaluation
- Jupyter
- Unsupervised Learning
- Regression Analysis
- Supervised Learning
Supervised Machine Learning: Regression and Classification
Completed by MINA ZAHER SHEHAD MOUSSA
November 28, 2022
33 hours (approximately)
MINA ZAHER SHEHAD MOUSSA'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
