A pair of scripts that contain profound statistical analyses. The first one approaches a linear model, while the second one a generalized linear model
-
Updated
Oct 17, 2023 - R
A pair of scripts that contain profound statistical analyses. The first one approaches a linear model, while the second one a generalized linear model
deriving insights from data contained in sql or nosql databases for dashboards
Predict the prices of houses based on certain geographical and other factors.
DS5110 Introduction to Data Management & Processing project repository.
Implantação de Ambiente de BI como Serviços para apoio às atividades gerenciais da Saúde Pública do GDF
Data Analysis, Data Modeling, Linear Regression. Proyectos de la materia Laboratorio de Datos. FCEN UBA 2° Cuatrimestre 2022.
Portfolio of data science projects completed for academic and self learning purposes.
Alpha machine is a company starting soon. Dr.Prashant Singh Rana is the man you have given this idea.Its simply do data modelling with the help of data models developed in R with accuracy analysis of different models. Its a web based application developed in Django.Will be published soon.
this is a stand alone application for data modelling using techniques like randomForest, LinearModel, NeuralNetworksand DecisionTree.It models your data and finds out the best model for your data.The results are stored in results.txt which will be there when you run 1.py. You will also get an interactive plot comparing all these models
An R Package for the BitCoinCharts.com API which includes functions to acquire historic trade data, weighted prices, and market data.
CDW Master Class - R Programming with Excel
Data: Boston Housing Dataset (HousingData.csv) Programming language(s): R Tool(s): RStudio Business problem: To understand the drivers behind the value of houses in Boston and provide data-driven recommendation to the client on how they can increase the value of housing.The Boston housing dataset consisted of 506 observations and 14 variables. P…
The project concerns an international e-commerce company* based in the USA who want to discover key insights from their customer database. They want to use some of the most advanced machine learning techniques to study their customers.
Using R and machine learning to build a classifier that can detect credit card fraudulent transactions.
Add a description, image, and links to the data-modeling topic page so that developers can more easily learn about it.
To associate your repository with the data-modeling topic, visit your repo's landing page and select "manage topics."