Gain hands-on experience with ANOVA analysis, understanding its assumptions, and applying it to real-world datasets to understand differences among group means.
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Updated
Oct 22, 2023 - Jupyter Notebook
Gain hands-on experience with ANOVA analysis, understanding its assumptions, and applying it to real-world datasets to understand differences among group means.
DETECTER DES FAUX BILLETS AVEC PYTHON
Build a statistical model based customer satisfaction dataset from Qualtrics survey
Report findings from normality tests such as shapiro.test, ad.test, ols_normality_test.
Estimation of the Shapiro-Wilk test using the Monte Carlo method.
Statistically analyzing the results of an A-B test
A statistical paper discussing real estate trends in Connecticut and whether or not there was a significant impact in real estate sales during the COVID-19 pandemic
DsFeatFreqComp – Dataset Feature-Frequency Comparison R Package
In this project, a regression-based performance prediction model was developed to estimate building energy consumption based on simplified façade attribute information and weather conditions.
Inferential_Data_Analysis_for_Australian_Real_Estate_Industry
Determined the best regression model which represents the data
This project aims to analyze the heart failure dataset to build a classifier that identifies the most important factors and allows predicting death from heart failure.
Exploratory Data Analysis of the Pre-Election Polls of the European Election 2019 as well as an Evaluation of Their Predictive Power
Gain hands-on experience with ANOVA analysis, understanding its assumptions, and applying it to real-world datasets to understand differences among group means.
Исследование влияния характеристик клиентов, которых страховая компания обслуживает, на размер страховых выплат
Verificar se há diferença significativa entre os dois medicamentos que ajudam no distúrbio do sono utilizando testes estatísticos.
A repository created to explore and understand Statistics through coding.
Project: A/B тестирование для НКО с целью увеличения конверсии в подписку на рассылку
Machine Learning Project to predict customer churning probabilities at the end of a given tenure
Проекты по статистике
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