Applied Machine Learning with Python
From a clean dataset to a tested model with scikit-learn, and how to tell if it is any good
From a clean dataset to a tested model with scikit-learn, and how to tell if it is any good. MUST University · Sami Trabelsi. 2 modules · 6 lessons · 29 min · Intermediate.
Draft lessons prepared for review by MUST faculty.
A professional certificate from MUST University for engineers and analysts who know some Python. The machine learning workflow, features and labels, the train/test split, a first model with scikit-learn, and how to evaluate it honestly: accuracy, precision, recall, overfitting and cross-validation.
What you will learn
- Frame a business problem as a machine learning task
- Split data into training and test sets
- Train a classifier with scikit-learn
- Evaluate it with precision and recall
- Detect overfitting and use cross-validation
Course content
- The machine learning workflow
- Evaluating and improving
Instructor: Sami Trabelsi