Using R and machine learning to build a classifier that can detect credit card fraudulent transactions.

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.

Implantação de Ambiente de BI como Serviços para apoio às atividades gerenciais da Saúde Pública do GDF

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

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…

Predict the prices of houses based on certain geographical and other factors.

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

DS5110 Introduction to Data Management & Processing project repository.

CDW Master Class - R Programming with Excel

Portfolio of data science projects completed for academic and self learning purposes.

Data Analysis, Data Modeling, Linear Regression. Proyectos de la materia Laboratorio de Datos. FCEN UBA 2° Cuatrimestre 2022.

An R Package for the BitCoinCharts.com API which includes functions to acquire historic trade data, weighted prices, and market data.

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.