Submitted Solution to Kaggle's Home Credit Competition
-
Updated
Jun 2, 2024 - Jupyter Notebook
Submitted Solution to Kaggle's Home Credit Competition
A decision tree built in python for my 4th year module CA4010, Data Mining
A Python implementation of the Decision Tree Algorithm
SVM with different kernels and decision trees
Fast computation of the Gini coefficient
Gini feature importance for RankLib random forests:
Standardized plots and visualizations in Python
Data minnig GUI project to predict laptop prices,I uses most of ML algorithmes here
Scorecard tools
Datamining concepts
This repository contains the implementation of known formulas in the field of Data Mining / Machine Learning / Statistics using Python and the Numpy library.
Here are some projects based on static methods of information processing. There are many different methods that you can use to process your information, depending on your needs.
Gini calculation on "German Credit Dataset" by Kaggle using R.
Decision-Tree
compute educational gini for each administrative district of Chile based on Census2017 through the package 'DescTools'
IUB CSE 425 (Artificial Intelligence)
Python Library to Generate Nakamoto Coefficient
This place hosts the supporting code for the content published in this blog article
Add a description, image, and links to the gini topic page so that developers can more easily learn about it.
To associate your repository with the gini topic, visit your repo's landing page and select "manage topics."