- Jupyter
- Artificial Intelligence
- Predictive Modeling
- Data Preprocessing
- Feature Engineering
- Machine Learning
- Supervised Learning
- Classification Algorithms
- Logistic Regression
- NumPy
- Model Evaluation
- Scikit Learn (Machine Learning Library)
Supervised Machine Learning: Regression and Classification
Completed by Krishna Leela Amritha Nandini
February 3, 2024
33 hours (approximately)
Krishna Leela Amritha Nandini'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
