- Model Evaluation
- Jupyter
- Feature Engineering
- Regression Analysis
- Unsupervised Learning
- Artificial Intelligence
- Scikit Learn (Machine Learning Library)
- Predictive Modeling
- Classification Algorithms
- NumPy
- Python Programming
- Data Preprocessing
Supervised Machine Learning: Regression and Classification
Completed by DHYEY DEEPKUMAR RAVAL
July 24, 2024
33 hours (approximately)
DHYEY DEEPKUMAR RAVAL'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
