The present project aims to predict air pollution in Beijing, China, using the data set "Beijing Multi-Site Air-Quality Data Data Set"
This repository contains the "RFM Analysis" for a Sales Data of a Retailer in SQL. This is part of my Data Science Portfolio Projects
This project is Master thesis research conducted at ENEA Portici Research Center, Italy. The data is obtained from the HPC CRESCO6 cluster at ENEA Portici Research Center. The aim is to identify energy consuming areas within the data center. In this project, real-time dataset from ENEA Portici Research Center is used. There are several technique…
Toolkit for Doing Research with ECMAScript-based Statistics (DRESS Kit)
Descriptive analysis of trends in NHS 111 activity related to COVID-19
Descriptive text analysis of the words contained in the Dictionary of the Spanish language (DSL).
Exploratory Data Analysis on the fictional company, Cyclistic, a bike-share company out of Chicago. "R" was used to complete this analysis for the Google Data Analytics Professional Certification.
Using descriptive analysis to answer business questions and make recommendations to optimize Pizza Runner's operations and drive sales.
Análise de Dados sobre índices de Depressão e seus fatores determinantes.
In this repository, we explore the use of BRFSS dataset for descriptive analysis.
Descriptive analysis of admissions to NHS acute trusts by frailty and comorbidity scores.
Linking a pre-existing R Project with GitHub. The project - Predicting Ice Cream Sales - was carried out on 'Statistics with R' module during the MSc Data Science for Business at the University of Stirling.
Bike rental prediction, blending predictive analytics and machine learning, optimizes inventory, pricing, and operations. It harnesses historical data, weather patterns, and time dynamics to enhance efficiency and elevate customer experiences.
Here you will find my Data Analysis side projects from 2024
Data Mining Web Application to Identify Anomalies in Public Procurement Rating Parameters
We've taken a Dataset of Automobile industry ad we're going to perform EDA (Exploratory Data Analysis). Also we'll apply a suitable Classifier, Regressor or Clusterer and calculate the accuracy of the model.
Implementing Python Machine learning to predict potential customers for a new launched product
Covid 19 analysis using NYTimes dataset for USA country.
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