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Feb 9, 2022 - Jupyter Notebook
descriptive-analytics
Here are 44 public repositories matching this topic...
My analysis shows that a total of 248 mice were tested for Capomulin, Ceftamin, Infubinol, Ketapril, Naftisol, Placebo, Propriva, Ramicane, Stelasyn and Zoniferol. It was obvious that majority of the population groups were tested for Capomulin and Ramicane. In other plot, my findings also show that treatment through Capomulin has been effective.
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Jan 28, 2023 - Jupyter Notebook
Mushrooms edibility classification
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Sep 1, 2017 - R
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Oct 17, 2017 - R
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Jun 7, 2022 - Jupyter Notebook
Data cleansing and handling missing data for a survey conducted by Stack Overflow
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Aug 11, 2023 - Jupyter Notebook
Basic descriptive statistical analysis of LEAFF data
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Dec 24, 2020 - R
🐧🏠 This repository can be referred for basic data science analytics tasks such as descriptive analytics (data distributions & data preprocessing) and predictive modelling (classification or regression tasks).
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Mar 12, 2022 - Jupyter Notebook
Final Project: Predictive and descriptive analysis, interpretations, and recommendations based on Austin Animal Center data on cats housed at the shelter. The main focus of this analysis is to determine which factors affect a cat's chances of being adopted or returned to their owner.
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Dec 14, 2022 - R
Descriptive and predictive analytics on prescription volume for three outpatient pharmacies.
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Nov 25, 2018 - Python
Web-based Clustering Application Using a Shiny Framework for Determining Student Engagement Levels in Virtual Learning Environments
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Sep 21, 2022 - Jupyter Notebook
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May 23, 2024 - R
Analyze a marketing dataset from Air France and generate recommendations for effective campaigns.
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Aug 19, 2020 - R
Recommendations on which characteristics are most important for determining whether a customer has a favourable perception of the microvan concept, to segment the market, and to determine which segment(s) would be good to target based on the analysis of data.
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Dec 16, 2020
Analysis of the India GDP over years and provide the understanding of contribution of different sectors to the GDP
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Apr 18, 2020 - Jupyter Notebook
Identifying Key Drivers of Customer Satisfaction using Logistics Regression
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Jun 12, 2021 - Jupyter Notebook
Estimated probability models that help target consumers to build brand loyalty
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Apr 3, 2020 - SAS
Hotel Booking Demand EDA
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Aug 28, 2020 - Jupyter Notebook
Our World in Data's causes of death dataset is examined
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Mar 20, 2020 - Jupyter Notebook
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