Cite as: Alba C, M Mittal "Socio-cultural behavioral traits in modeling the prediction of COVID-19 infection rates" Journal of Humanities and Applied Social Sciences Vol. 3 No. 5, pp. 339-355.
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Updated
Dec 20, 2021
Cite as: Alba C, M Mittal "Socio-cultural behavioral traits in modeling the prediction of COVID-19 infection rates" Journal of Humanities and Applied Social Sciences Vol. 3 No. 5, pp. 339-355.
M.Tech Project
Labeling Function Analysis that also helps checking fairness of data patterns
Projeto 1 de Fundamentos de Sistemas Inteligentes (FSI), disciplina ofertada na Universidade de Brasília (UnB) no semestre 2022.1.
Go package for CART Algorithm Implementation for Machine Learning
Labs done in Fundamentals of Data Mining Module in Y3S2 in SLIIT
📚🚀 Empowering UPC's academic planning with ML! Predict enrollments precisely, optimize resources, and enhance efficiency. Check out this project!
Implementation of Decision Tree CART algorithm
Prevendo o Nível de Satisfação dos Clientes do Santander.
This Repo contains all the code related to the (Data Mining and Business Intelligence)DMBI.
Decision tree generation with CART algorithm (Introduction to Data Mining / Problem set 2)
Machine learning based system that can predict service cancellation for a business based on its dataset using 5 models
Reddit Lens is a ML based proof of concept project for detecting trolls and bots on subreddits.
Decision Tree Classification via CART Algorithm
Service Cancellation Predictor Project
Replacing a Black-box model by a Global Single Tree Approximation
Ionic cart system is a program which shows how we create cart management system using Ionic3. In this, we show different functionality like add products to cart, increment, and decrement product quantity, delete the product from the cart, show item count in cart. In this tutorial, we using static function & static cart list to perform all this o…
Classification And Regression Trees (CART) algorithm is a classification algorithm for building a decision tree based on Gini's impurity index as splitting criterion.
I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.
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