Topic: descriptive-analysis Goto Github
Some thing interesting about descriptive-analysis
Some thing interesting about descriptive-analysis
descriptive-analysis,Análise de Dados sobre índices de Depressão e seus fatores determinantes.
User: aandreo
descriptive-analysis,Find stock price in real time
User: abhi-37
descriptive-analysis,The present project aims to predict air pollution in Beijing, China, using the data set "Beijing Multi-Site Air-Quality Data Data Set"
User: afkerian
descriptive-analysis,Market intelligence dashboard developed in Power BI.
User: alessandraapds
descriptive-analysis,Data Mining University of Indonesia group project for final assesment
User: alvansaid
descriptive-analysis,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.
User: anamicca23
descriptive-analysis,Analysis and prediction of the impact of Covid-19 on certain diseases and key indicators in the Colombian health system. The project was approached with data science and machine learning techniques.
User: ansegura7
Home Page: https://ansegura7.github.io/covid19-col-disease-impact
descriptive-analysis,Descriptive text analysis of the words contained in the Dictionary of the Spanish language (DSL).
User: ansegura7
Home Page: https://ansegura7.github.io/DSL_Analysis/
descriptive-analysis,Analyzing smart device usage data from non-Bellabeat products to gain customer usage insights and then selecting a Bellabeat product to apply these insights to create high level recommendations for Bellabeat marketing strategy.
User: arpita-deb
descriptive-analysis,This repository contains the "RFM Analysis" for a Sales Data of a Retailer in SQL. This is part of my Data Science Portfolio Projects
User: ayushiasthana18
descriptive-analysis,Repository for code and analysis related to my master's thesis on leveraging big data analytics for enhancing financial inclusion in Nigeria and other developing economies. Includes scripts, notebooks, and models for analyzing financial inclusion data, assessing impact, and addressing challenges. University: CBS International Business School
User: cyprana
descriptive-analysis,Assignment Lecture Project : Full-stack Data Analytics - RevoU
User: danielna70
Home Page: https://drive.google.com/file/d/103tnbe5hM3u5nWaHQ-lw2uiX7DezHFCp/view?usp=sharing
descriptive-analysis,Exploratory and Predictive analysis of the Dota 2 dataset
User: dthrazak
descriptive-analysis,Data Mining Web Application to Identify Anomalies in Public Procurement Rating Parameters
User: ellie190
descriptive-analysis,Using descriptive analysis to answer business questions and make recommendations to optimize Pizza Runner's operations and drive sales.
User: hannahigboke
Home Page: https://medium.com/@HannahIgboke
descriptive-analysis,Analyzing retail sales data to craft targeted marketing, elevate customer experiences, and forecast future sales.
User: hannahnv
descriptive-analysis,Descriptive analysis of trends in NHS 111 activity related to COVID-19
Organization: hfanalyticslab
descriptive-analysis,Descriptive analysis of trends in deaths
Organization: hfanalyticslab
descriptive-analysis,Descriptive analysis of admissions to NHS acute trusts by frailty and comorbidity scores.
Organization: hfanalyticslab
descriptive-analysis,New video game company, GameCo, wants to use data to inform the development of new games.
User: irynakhylyuk
descriptive-analysis,Descriptive analysis was performed on the Cherry Blossom data set to detect trends in the peak bloom days over time, and then linear regression was used to further investigate the data.
User: jeffreyhwatson
descriptive-analysis,A case study on the fictional company Cyclistic, a bike-share company in the Chicago metropolitan area. RStudio was the main tool used to conduct analyses and create visualizations.
User: jonavrilyo
descriptive-analysis,Análisis Descriptivo utilizando R
User: juli-amezquita
descriptive-analysis,Business Analytics Project MEM
User: kerim-kilic
descriptive-analysis,Covid-19 Dataset Analysis
User: linnndachen
descriptive-analysis,Predictive Analysis in R (Logistic Regression Analysis)
User: mamomen1996
descriptive-analysis,Decriptive Analysis of FIFA19 Players using SQL
User: manishkr1754
descriptive-analysis,Cognifyz Technologies Data Science Internship project on Restaurant Data Analysis to explore insights and build predictive models.
User: matth-adenyo
descriptive-analysis,Code implementation of the paper "Multiple Linear Regression Model for Inflation in India" , doi: 10.1109/INCET51464.2021.9456277
User: najeebuddinm98
descriptive-analysis,Download and save and doing a descriptive analysis of Youtube's comments using python and Google API ( Youtube Data API V3 )
User: nakibmehdi
descriptive-analysis,In this repository, we explore the use of BRFSS dataset for descriptive analysis.
User: normanlo4319
descriptive-analysis,Descriptive Data Mining for UK Retail Dataset
User: pallavitilloo
descriptive-analysis,Data Storytelling using Power BI dashboard showing the factors responsible for employee attrition.
User: rahul-jain-16
descriptive-analysis,Covid 19 analysis using NYTimes dataset for USA country.
User: rajafarattala21
descriptive-analysis,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.
User: rajnishmanitiwari
Home Page: https://bit.ly/3JEpdft
descriptive-analysis,Facebook ad Campaign
User: rose-njeru
descriptive-analysis,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.
User: sam-is-curious
descriptive-analysis,Here you will find my Data Analysis side projects from 2024
User: sebraor
descriptive-analysis,Implementing Python Machine learning to predict potential customers for a new launched product
User: shioulu
descriptive-analysis,🏭 This repository serves as a demonstration of how to analyze product defects and identify critical points within the product. By doing so, we can effectively troubleshoot and address potential issues to improve product quality and performance.
User: skswar
descriptive-analysis,A website to help users view, verify and modify data for preprocessing and apply various classical ML algorrithms
User: sohhamseal
descriptive-analysis,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.
User: stella-spyrou
descriptive-analysis,A car rental delays analysis
User: thimyxuan
descriptive-analysis,A speed dating analysis
User: thimyxuan
descriptive-analysis,The repository contains code that retrieves data on the latest GitHub repositories using the GitHub API. The retrieved data is then cleaned and transformed before being sent to Google BigQuery for storage and analysis. In BigQuery, exploratory data analysis (EDA) techniques are applied to gain insights into the data.
User: usmananwaar-de
descriptive-analysis,Toolkit for Doing Research with ECMAScript-based Statistics (DRESS Kit)
User: waihongchung
descriptive-analysis,In this project, an analytical approach on the large dataset is applied for advance prediction of average household electricity consumption located in different regions of United Kingdom. Several machine learning models are implemented and compared for the prediction analysis. This project also involves an estimation of the expected emission of CO2 in the environment using deep learning modelling based on the predicted usage of electricity.
User: waniakhance
descriptive-analysis,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 techniques implemented including big data analytics and AI technology.
User: waniakhance
descriptive-analysis,Exploring and predicting customers' churning from credit card service
User: yanbin43
descriptive-analysis,Understanding and predicting employee's attrition
User: yanbin43
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