Two-Dimensional Data Whitening and Receiver Operational Characteristic Determination
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Updated
Apr 27, 2019 - MATLAB
Two-Dimensional Data Whitening and Receiver Operational Characteristic Determination
Comprehensive statistical testing analysis with ecommerce data.
In this repo, I attempt to understand systemic biases in gender and racial policing as well as train an sklearn ML model for predicting the ethnicity of NYPD officers from allegation data.
Strategies for analyzing the distribution of datasets, switching the data towards a normal distribution testing different manual transformations and Box-Cox transformation.
Aims to develop a classification model to identify whether a radio signal observed by astronomers is produced by a real pulsar.
Flip bottle challenge using chi-square test, paired sample t-test by R. Coursework of UW Madison SP 2020 STAT 302.
Matéria de Análise Estatística de Dados da pós-graduação em Ciência de Dados e Machine Learning
Aider une entreprise agro-alimentaire de réaliser une étude de marché international pour mieux cibler ses nouveaux pays clientèle.
A short study on four marketing channels of Divar company
A hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine whether there is any diff…
This is a project about analyzing tuberculosis data from 1990 to 2013 using Tableau.
This repository contains my Inferential Statistics project completed during my university course. It includes the dataset, R code, and detailed analysis showcasing the comparison of climbing route grades for men and women. The project highlights my skills in data visualization, statistical analysis, and hypothesis testing.
Statistical analysis on online retail analysis
This is an application statistical hypothesis testing on data from a Datacamp competition
Testing hypothesis and building Confidence Intervals
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