DataScience
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Updated
Aug 8, 2023 - Jupyter Notebook
DataScience
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.
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!!
This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.
This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD).
A 30+ node flowchart for selecting the right statistical test for evaluating experimental data.
Python library for Design and Analysis of Experiments
A general understanding of Statistics Basics, Different tests with Different Python Libraries
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…
Statistical Analysis on COVID-19 data to examine the statistical significance across the different regions.
Analysis of Terry Stops in Seattle
The data relates to several user actions or interests recorded on two variants of landing pages for an online news portal. The objective is to analyse these interests by performing statistical analyses to determine if one variant is more effective based on chosen metrics (A/B testing).
Hypothesis Testing and it's use in Machine Learning
Repositório contendo os códigos da disciplina Métodos Quantitativos Aplicados à Administração de Empresa I, ministrada pela professora Ana Amélia, na Escola de Artes, Ciências e Humanidades (EACH) na Universidade de São Paulo (USP)
Visualization from Statistical Data Analysis
Advanced Method of Optimization (2022 Spring)
first business data analysis - factors affecting student satisfaction and bank clients
Hypothesis for Data Science
Hypothesis Testing using R language
Biostatistical analysis #R
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