Build decision trees from CSV datasets Customize model parameters (max depth, min samples split, criterion) Visualize decision trees as hierarchical structures Calculate and display model evaluation ...

There’s a lot to know about search intent, from using deep learning to infer search intent by classifying text and breaking down SERP titles using Natural Language Processing (NLP) techniques ...

We propose a hierarchical differentiable neural regression model, Soft Decision Tree Regressor (SDTR). SDTR imitates a binary decision tree by a differentiable neural network and is plausible for ...

This project uses the heart disease dataset (heart.csv) to classify whether a person has heart disease based on various medical features. Both Decision Tree and Random Forest classifiers from ...

She also shares a glimpse into her latest venture, one that applies NLP and visualization to behavioral data in ways ... After that, I recommend to build a mock dataset, design a dashboard, and create ...