f test for generated fake spectra for xspec, heasoft

Performed rigorous preprocessing, and data cleaning, and conducted exploratory data analysis to identify trends, patterns, and outliers, leading to valuable insights. Employed various statistical methods concepts to get insights about the data for prediction.

Examples of using the test statistics to test hypotheses

A simple framework for ANOVA on various types of Julia statistical models

Conduct one-way and multi-way anova in Julia with FixedEffectModels.jl

Conduct one-way and multi-way anova in Julia with MixedModels.jl

Conduct one-way and multi-way anova in Julia with GLM.jl

ASIS is a web application developed for the compilation of impact report PDF documents for the tutorial programme (A-STEP) at the University of the Free State.

OLS. R and Python. In this project, we study fundamental concepts of Supervised ML models, such as Regression Analysis: Coefficient of Model Adjustment (R²), Parameters Estimation ,Statistical Significance of the Model (F test, T test) ,Multiple Regression , Qualitative Explanatory Variables (X) , heteroscedasticity and etc.

An automated, user-interactive tutorial attendance impact report generator. The code conducts hypothesis testing to compare the student performance with tutorial attendance, and outputs a PDF report.

Executed Regression modelling, hypothesis testing and statistical analysis to predict factors affecting credit card balances in a firm. Tools & technologies: ANOVA, p-value, R square

A basic comparison of different statistical methods for data understanding and exploration.

Wine dataset statistical analysis using Hypothesis testing (F-test, T-test, ANOVA, ANCOVA). Using machine learning to predict wine quality. Using regularization with 10 fold cross validation to overcome overfitting. Created different visualizations on the dataset.

Implementation of various feature selection methods using TensorFlow library.

Research on the reasons for GDP per Capita growth in China

Assessment of UK healthcare performance in 2011 compared to healthcare in other OECD Countries: University of Sheffield, MAS223 Practical 4 code and files

This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.

Implementation of some r programs using R studio.

Create barplots or boxplots with significant level annotations.

Performed graphical and numerical EDA, correlation and residual error analysis, log normalization