Applied Statistics used for Machine Learning problems
-
Updated
Apr 1, 2021 - Jupyter Notebook
Applied Statistics used for Machine Learning problems
Here i have taken an example of a school called as ABN Public School.In this we performed chi square test of independence to determine whether the variables 'gender' and 'student motivation' are independent of each other or not.
A simple web app that helps identify statistical interactions between A/B tests.
I have created a R package to check for correlation between the Fear & Greed index and daily returns of different asset classes.
Data prepration and preprocessing for predictive modeling with SAS and Python
Jeopardy is a popular TV show in the US where participants answer questions to win money. It's been running for many years, and is a major force in popular culture. In this project, we'll work with a dataset of Jeopardy questions to figure out some patterns in the questions that could help you win.
Feature selection techniques
basic statistics are covered
Online Gaming Case Study
Teste A|B com chi-quadrado.
Quantitative Analysis of Mid-Atlantic Wage Data using R
The following is a simple statistical analysis using a customer satisfaction level dataset. The data was obtained from the DQLab learning page assessment.
Adidas Sales Analysis
Source R Markdown file, dataset, and other materials for submitted paper (in Indonesian) on *Linguistik Indonesia*, the journal of the Linguistic Society of Indonesia.
Conducted a chi-squared test to check the validity of A/B test for a new webpage in increasing conversions and click-through rates
Shared Bikes Demand Prediction Notebook
A service request data analysis of New York City 311 calls featuring statistical tests.
Add a description, image, and links to the chisquare-test topic page so that developers can more easily learn about it.
To associate your repository with the chisquare-test topic, visit your repo's landing page and select "manage topics."