normaldistribution
There are 21 repositories under normaldistribution topic.
xfzhang-zoey/DataAnalyst_P5_market_study
Aider une entreprise agro-alimentaire de réaliser une étude de marché international pour mieux cibler ses nouveaux pays clientèle.
chinmayeeguru/Bike-Sharing-Linear-Regression-Model
To model the demand for shared bikes with the available independent variables
domcermak/normal_distribution
Ruby gem for normal distribution calculations written in C
jhagelback/ez_statistics
Easy statistical testing on the web
AugusteLef/TheBellCurve
Paper where we discuss the following topic from the history of mathematics and its applications: the normal distribution
BalajiN743/Basic-Statictics-02
Solutions for the basic statictics problems
dhirajhimani/ML-StudyMaterial
This repository contains My daily notes and study material for the ML.
DmitriyMakhnovskiy/Distribution_function_exercise
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... :-)
mytunca/normal-distribution
A web app developed to understand the normal (Gaussian) distribution with dice rolls
NagaDurgaJaswanth/Live-stock-Analysis-BEML_GLAXO
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
Rahman17309/Basic-statistics-level-1
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
saikrishnabudi/Basic-Statistics-Level-1
Data Science - Statistics Work Level-1
ashishyadav24092000/Goodnees-of-fit-for-normal-distribution
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.
ashishyadav24092000/MaximumLikelihoodEstimator
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 compared. Also note that this MLE is used when the residual(e) of the regression model does not follow normal distribution for different observations.
d4rthm4ul/R-Shiny-Interactive-Histogram
This repository you are browsing contains intermediate level piece of codes which are useful to create a shiny app about how to show normal distributed data using histogram. In this R script you will learn how to create User Interface (UI), server (which contains basics of reactivity) and how to combine these two with shinyApp igniter. Do not be shy to fork and make contribute.
gmatozinho/NormalDistribution
Create for Calculus 2 Work
Jimoh1993/UM6P-SCI-Data-Science-Lab-Project-Data-Distribution-Stat-Tests
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.
Manjurkreddy/EndtoendML
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.
YugalPatil97/Assignments-Basic-Statistics-Level-1
Assignments Basic Stats 1
YugalPatil97/Assignments-Basic-Statistics-Level-2-Set-2
Basic Statistic level 2 set 2