- Logistic Regression
- Supervised Learning
- Machine Learning
- Classification Algorithms
- Model Evaluation
- Jupyter
- Feature Engineering
- Predictive Modeling
- Scikit Learn (Machine Learning Library)
- Unsupervised Learning
- Artificial Intelligence
- Regression Analysis
Supervised Machine Learning: Regression and Classification
Completed by Cristian Joshue Neyra Ramírez
November 8, 2024
33 hours (approximately)
Cristian Joshue Neyra Ramírez'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
