Python library for Design and Analysis of Experiments
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Updated
Dec 8, 2020 - Python
Python library for Design and Analysis of Experiments
This is an initiative to help understand Statistical methods and Machine learning in a naive manner. You will find scripts, and theoretical contents required to clarify concepts, especially for bio-informatic students.
This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD).
This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.
A 30+ node flowchart for selecting the right statistical test for evaluating experimental data.
A statistics package with a variety of bootstrap and other resampling tools
In this repository, discover the intricacies of the ANOVA test and its various types, essential for informed decision-making. Dive into practical demonstrations of each ANOVA test using Python, with a focus on visualizing their application on COVID-19 data. Let's embark on a journey to explore and understand statistical analysis in Python!!
My Python learning experience 📚🖥📳📴💻🖱✏
DataScience
This short free book provides a concise introduction to data analysis meant to address common problems faced by graduate students in engineering and science.
A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validit…
Perform a STEP by STEP multiple mean comparison analysis on R
A statistics package with a variety of bootstrap and other resampling tools. This repository is synced to the same-named repository owned by GNU-Octave. It exists to facilitate publication of the developmental version of the statistics-resampling toolbox at MathWorks FileExchange.
This repository contains all of the statistical Inference-related projects I've worked on. The projects are part of the graduate course at the University of Tehran.
Applied MLR with 5-year bike rental data, incorporating model diagnostics, hypothesis testing, ANOVA and step-wise AIC, identified a significant impact of winter rainfall variation.
This project attempted to analyze if race and age had any effects on the frequency of mental health issues in older adults.
Implementation of Statistical Inference Concepts for learners.
Hypothesis Testing and it's use in Machine Learning
This project aims to analyze a dataset of sales transactions from a UK-based e-commerce store specializing in gifts and homewares over one year. With 500,000 rows and 8 columns, including transaction numbers, dates, product details, prices, quantities, customer identifiers, and countries, the analysis focuses on understanding customer behavior
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