Descriptive Statistics, Correlation, Central Tendency, Measure of Dispersion
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Updated
Oct 31, 2021 - HTML
Descriptive Statistics, Correlation, Central Tendency, Measure of Dispersion
Actividad de Arqueología Cuantitativa sobre Regresión Lineal Simple y Correlación con r
FIMUS imputes numerical and categorical missing values by using a data set’s existing patterns including co-appearances of attribute values, correlations among the attributes and similarity of values belonging to an attribute.
Examine student health reports to gain insights into the locations of SBHCs
Simple tool for checking cryptocurrency correlations
Simple Programs for R Lab
The goal of this project is to visualize the top searches for common health issues in the United States, from Cancer to Diabetes, and compare them with the actual location of occurrences for those same health conditions to understand how search data reflects life for millions of Americans.
A webapplication that provides a way to calculate statistical functions without having to write any code.
What does Trump talk about when he talks about COVID-19? (A natural language processing exploration.)
Implementation of Template Matching Correlation
Detect stream correlations in a limited number of streams
Analysis of US Census Data. Process outlined in jupyter notebooks.
an analysis was conducted on the Wine Data to discern the factors that play a pivotal role in determining the quality of wine. An exploration of the correlations between these attributes and the overall wine quality was undertaken, while considering the interplay with other relevant factors
Perform data analysis, explore YouTube disliked datasets using NumPy and Pandas libraries and perform exploratory data analysis to gain meaningful insights.
This repo contains EDA of red and white wine and how it relates to quality.
Term project of 503 data analytics essentials lesson at MEF university.
A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these.
All my DATA developer projects
Kaggle challenge to predict if a customer is satisfied or dissatisfied with their banking experience.
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