All Statistics concepts
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Updated
Jun 23, 2024 - Jupyter Notebook
All Statistics concepts
Deep R Programming (Open-Access Textbook)
A tool for visualizing the coefficients of various regression models, taking into account empirical data distributions.
This repository contains a collection of Jupyter Notebooks for conducting Exploratory Data Analysis (EDA) and Statistical Analysis on various datasets.
collection of Jupyter Notebooks in both English and Spanish, dedicated to performing data quality analysis using the R programming language
The Following problems showcase different Statistical Methods used for Decision Making. The purpose of this project is to experiment and execute statistical methods, which are required to conduct data analysis, derive insights and inferences and arrive at business decisions.
Excel calculating the probability distribution simulated data
Book of Demythologize Durbin-Watson Test Statistic | Correct the critical values of DW statistic
The R code authored below goes through cleaning, visualizing and modeling data as well as some useful simulations for concepts in Research Statistics and markdown reports. Some code is shell code for the participant to complete; some are examples of the completed shell code. For more advanced R methods, see Dashboards_DataScience repo
Explore "Statistics" and "Probability Theory" Concepts and Their Implementations in "Python"
Statistics for Data Science Assignment
Statistics for Data Science Assignment
Statistics for Data Science Hackathon
Statistics for Data Science Assignment
A simple data science project/hackathon done as part of SDS course
Using boxplots to investigate US hospitals healthcare costs
Using matplotlib to look at distributions of flowers and flights to plan a trip.
Using pandas and numpy to explore London weather data to find the best time to visit.
This repository includes all the assignments completed for the IDS702: Modelling & Representation of Data at Duke MIDS program.
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