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Statistical package in Python based on Pandas
Deep learning methods for feature selection in gene expression autism data.
Implementation of various feature selection methods using TensorFlow library.
Scripts to perform pairwise t-test on TREC run files
Open-source statistical package in Python based on Pandas
Comparison of A/B Test and Conversion of Bidding Methods
To compute and plot significances (pvalues and asterisks) on bar graphs
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 validity of the assumptions. Cutlets.csv
My this project repository focused on hypothesis testing involving T-test, Chi-square test, Binomial Test, ANOVA, Sample Size Determination with scipy, statmodels modules.
Easy statistical testing on the web
Tutorials for BSE classes.
Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task.
Root Cause analysis to check for disparity in testing performance across different jurisdictions across US
MechaCar prototypes Collected summary statistics on the pounds per square inch (PSI) of the suspension coils from the manufacturing lots Ran t-tests to determine if the manufacturing lots are statistically different from the mean population Designed a statistical study to compare vehicle performance of the MechaCar vehicles against vehicles from other manufacturers.
marketing metrics analysis, A/B test and ttest, CLTV calculation
Цель исследования: Выявить определяющие успешность игры закономерности и предложить рекомендации для рекламной кампании.
Works completed within the Statistics module of the Data Analyst course on the Karpov Courses platform
Using binom_test, ttest_1samp, ttest_ind, f_oneway, pairwise_tukeyhsd, chi2_contingency to investigate some data from a sample of patients who were evaluated for heart disease.
Practice & revision files for the course Master statistics and machine learning: intuition, mat, code
Используя исторические данные о продажах компьютерных игр, оценки пользователей и экспертов, жанры и платформы, выявить закономерности, определяющие успешность игры.
Classifies wild cats images
Which variables are significant in predicting the demand for shared electric cycles in the Indian market and How well those variables describe the electric cycle demands
Analysis and Hypothesis Testing of Advanced House Prices Dataset
Analysis of job descriptions to extract most commonly occurring words and phrases.
This repository contains a A/B testing for a fictional company Globox where I analyzed the results and provided recommendations to the stakeholders about whether Globox should launch a new experience to all their users.
Statistical tests when the sample size is small/outliers are present/sample does not follow a normal distribution with an example in R.
Dive deep into inferential statistics and understand its relevance in drawing conclusions from data. Apply statistical tests to derive insights and make decisions based on data samples.
This repository contains different statistical methods for Hypothesis testing.
A webapplication that provides a way to calculate statistical functions without having to write any code.
Explore Python implementations of predictive modeling techniques like F-test, t-test, ANOVA, linear square estimation, autocorrelation, and least squares in this practical-driven GitHub repository