Enabling easy statistical significance testing for deep neural networks.

Effect size measures and significance tests

Robust statistics in Python

Minimal A/B Testing Library in PHP

R package PCAtest for evaluating the statistical significance of PCA analysis, selecting number of significant PC axes, and testing the contributions of the variables to those PCs.

Significance tests of feature relevance for a black-box learner

This is a package that provide tools to extract different genome architecture features, build taxonomy lineage and test features against certain value in taxonomy rank in fully automated pipeline.

Example of an end to end data analysis project starting from data acquisition to development of insights. Raw python is mostly used.

Supervised-ML---Simple-Linear-Regression---Newspaper-data. EDA and Visualization, Correlation Analysis, Model Building, Model Testing, Model predictions.

A combination of codes developed for the calculation of the cross-correlation confidence intervals, making use of a pair of light-curves. The code conducts a bootstrap random sampling with replacement method to generate artificial light-curves. The code determines the cross-correlation of the artificial light-curves, and uses them for significance.

🧐 This project analyzes Amazon Fine Food Reviews to investigate whether negative reviews are more emotionally intense and lexically repetitive than positive ones. Using R, we apply sentiment analysis and lexical diversity metrics to uncover patterns in consumer review language.

In-browser tool for choosing the appropriate statistical test for your hypothesis (SPSS, hypothesis testing, A/B testing, Inferential Statitics) #significance_testing #SPSS #hypothesis_testing

Statistical analysis of Youtube trending videos

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…

Hypothesis-Testing-2-Proportion-T-test-Students-Jobs-in-2-States. Assume Null Hypothesis as Ho is p1-p2 = 0 i.e. p1 ≠ p2. Thus Alternate Hypthesis as Ha is p1 = p2. Explanation of bernoulli Binomial RV: np.random.binomial(n=1,p,size) Suppose you perform an experiment with two possible outcomes: either success or failure. Success happens with pro…

Hypothesis-Testing-1-Sample-1-Tail-Test-Salmonella-Outbreak. 1-sample 1-tail ttest. Assume Null Hypothesis Ho as Mean Salmonella <= 0.3. Thus Alternate Hypothesis Ha as Mean Salmonella > 0.3. As No direct code for 1-sample 1-tail ttest available with unknown SD and arrays of means. Hence we find probability using 1-sample 2-tail ttest and divide…

Anova ftest statistics. 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 wh…

A group project for Florida Tech's MTH5324 (Statistical Modelling) project that analyzes the impact of the Russo-Ukraine war on the economy of several significant geopolitical entities.

Implementing statistical analysis on data

Chi2 contengency independence test. Q4. TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data a…