GitHub / dtheod / Interpretability-Methods-Regression
A python script for basic data cleaning/manipulation and modelling based on the open source House Sales Advanced Regression Techniques(Kaggle)
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dtheod%2FInterpretability-Methods-Regression
PURL: pkg:github/dtheod/Interpretability-Methods-Regression
Stars: 3
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 559 KB
Dependencies parsed at: Pending
Created at: about 5 years ago
Updated at: almost 2 years ago
Pushed at: almost 4 years ago
Last synced at: 4 months ago
Topics: catboost-model, catboostregressor, colab, colab-notebook, machine-learning, model-interpretability, python, visualization