- NumPy
- Scikit Learn (Machine Learning Library)
- Unsupervised Learning
- Data Preprocessing
- Logistic Regression
- Jupyter
- Regression Analysis
- Classification Algorithms
- Model Evaluation
- Supervised Learning
- Predictive Modeling
- Python Programming
Supervised Machine Learning: Regression and Classification
Completed by Pedro Anderson Ferreira Castro
June 20, 2023
33 hours (approximately)
Pedro Anderson Ferreira Castro'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
