A repo for playing around with various ML models and concepts.
Tools:
- Python
- Google Collab
Algorithms:
-
DecisionTreeClassifier (Pandas, Numpy, Seaborn, GraphViz, Scikit-learn)
- Exploratory Data Analysis (correlation tables, heatmaps, pairplots)
- KFold Cross-Validation with different criterion (gini, entropy)
- Decision Tree Visualization (GraphViz)
- Pre-pruning and Post-pruning
-
RandomForest (to be uploaded)
-
GradientBoosting (to be uploaded)