An Introduction to Data Collection: REST APIs with Python & Pizzas
Spatial Intersects with Geopandas
After the Informational Interviews
Further Reading
- K-Nearest Neighbors Algorithm in Python and Scikit-Learn
- KNN visualization in just 13 lines of code
- A Gentle Introduction to k-fold Cross-Validation
- Class Imbalance Problem
- Classification Report
- Precision vs Recall
- How do I interpret the given classification report?
- How to interpret classification report of scikit-learn?
[Link to Article here]
Further Reading
- Coursera course: Pruning Decision Trees
- Decision Tree: Build, Prune, and Visualize using Python
- Sklearn documentation: DecisionTreeClassifier
- Pruning Decision Trees
- Study of Various Decision Tree Pruning Methods with their Empirical Comparison in WEKA
[Link to Article here]