Gini Index based sparse signal recovery algorithm
-
Updated
Jun 27, 2017
Gini Index based sparse signal recovery algorithm
Decision Tree Implementation from Scratch
Assignments and Project from NJIT CS 675
The objective of this work is to provide tools to be used for the classification of ordinal categorical distributions. To demonstrate how to do it, we propose an Homogeneity (HI) and Location (LI) Index to measure the concentration and central value of an ordinal categorical distribution.
Decision Tree classifier from scratch without any machine learning libraries
Decision Tree Classification via CART Algorithm
These are coding assignments and projects for the CS 675 Machine Learning course.
This repository contains code to build various versions of Decision Tree Models (Gini, Entropy) for the Titanic Passenger Survival prediction from Kaggle Competitions. Pruning is also performed to reduce the Overfitting
Udacity Project 1 - Investigate economic, inequality, & corruption data. This project sets out to find a relationship between the fastest-growing countries, corruption, & inequality.
Contains KNN regression, Linear regression, KNN classification and Decision trees (using gini index, entropy & misclassification rate), all implemented from scratch.
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.
Algorithms and Data Structures for Data Science and Machine Learning
Implemented a Decision Tree from Scratch using binary univariate split, entropy, and information gain. Used Gini index and Pruning for performance improvement.
Splicing Diversity Analysis for Transcriptome Data
Décorticage les jeux de données commerciale pour faciliter la prise de décision appuyée sur data: sortir les business insights, identifier les anomalies et des opportunités
2D Gini Index Implementation
This repository contains introductory notebooks for Decision tree
Supervised and unsupervised analysis
Add a description, image, and links to the gini-index topic page so that developers can more easily learn about it.
To associate your repository with the gini-index topic, visit your repo's landing page and select "manage topics."