Performing multiple regression to predict fuel efficiency (MPG) on an energy-efficient car model

Hypothesis testing using T-test,ANOVA,chi-square test.

solving problems with data analysis, hypotheses and the most used statistical tests in ecology

Statistics project on the analysis of the household dataset.

Contains some Test of Statistics

ANOVA test using python to find out if survey or experiment results are significant and the impact of one or more factors by comparing the means of different samples

I use R to statistically analyze survey data collected from 500 customers of a local prepared meal delivery service

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

The main objectives of this project are Stacked Generalization (Stacking) and comparing models with ANOVA tests. To do that I classify if a person flying with an unnamed north american airline company is satisfied or neutral/dissatisfied with their flight.

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 whether there is any diff…

Perform a STEP by STEP multiple mean comparison analysis on R

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

ANOVA_diamonds_analysis

Using data from the Professional Bowlers Association we analyze a dataset that includes the following bowlers from their list of 15 women bowlers: Stephanie Nation, Amanda Fagan, and Shannon O’Keefe. The dataset consist of 3 columns, Bowler, GameNum, Score.

An electronic news aggregator is testing new landing pages in an effort to halt a decline in new subscriber rates. This analysis details the engagement levels and conversion rates of the new pages.

Applied MLR with 5-year bike rental data, incorporating model diagnostics, hypothesis testing, ANOVA and step-wise AIC, identified a significant impact of winter rainfall variation.

Applied Statistics used for Machine Learning problems

This project concerns with Drug Analysis using ANOVA and Principal Component Analysis on College Admissions data