- 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 Diego Armando Salinas
August 20, 2024
33 hours (approximately)
Diego Armando Salinas'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
