Aider une entreprise agro-alimentaire de réaliser une étude de marché international pour mieux cibler ses nouveaux pays clientèle.

Easy statistical testing on the web

To model the demand for shared bikes with the available independent variables

Ruby gem for normal distribution calculations written in C

Data Science - Statistics Work Level-1

Create for Calculus 2 Work

Solutions for the basic statictics problems

A web app developed to understand the normal (Gaussian) distribution with dice rolls

This repository contains exercises on statistical analysis and probability calculations. Each question is answered with detailed explanations, covering topics like data types, probability distributions, expected values, descriptive statistics, skewness, kurtosis, confidence intervals, & hypothesis test

Data distribution is a function that lists out all possible values the Data can take. It can be a continuous or discrete Data distribution. Several known standard Probability Distribution functions provide probabilities of occurrence of different possible outcomes in an experiment.

Live-stock-Analysis-BEML_GLAXO For this analysis, we will evaluate two stocks: BEML and GLAXO. The daily trading data (open and close price) for each stock is taken for the period starting from 2010 to 2016 from BSE site

In this we have taken a sample data to check if that data follows normal distribution or not. A hypothesis test is performed to check this using the chi-square test pf goodness of fit.

Numerical experiment aimed at showing that the distributio of the sum of independent random variables with the same distribution tends to a normal distribution. A task from a Chinese lecture notes... :-)

Paper where we discuss the following topic from the history of mathematics and its applications: the normal distribution

Assignments Basic Stats 1

The maximum likelihoood estimator approach is used here for calculating the Regression parameter that is slope(b1),intercept(b0) and standard deviation of error/residuals. Then Result or the output for the regression parameters using the OLS(ordiniary Least Sqaure) estimation method versus the MLE(MAximum Likelihood Estimation) method is compare…

Basic Statistic level 2 set 2

Using this ML file can anyone develop any machine learning alogitham in regression. almost 99.99 percent all regression models has been used. We need to pick the best machine learning algoritham using this file. Cheers Manju.

This repository contains My daily notes and study material for the ML.