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Some thing interesting about binomial-distribution
Some thing interesting about binomial-distribution
binomial-distribution,Simulating a Pandemic in Python from scratch & implemntation of famous SIR method for pandemic simualtion
User: al6133
binomial-distribution,R package developing version of fitODBOD version 1.4.1
User: amalan-constat
Home Page: https://amalan-constat.github.io/R-fitODBOD/index.html
binomial-distribution,:rocket: A library designed to facilitate work with probability, statistics and stochastic calculus
User: astralord
binomial-distribution,Repositório da disciplina Análise Estatística de Dados e Informações do Mestrado Profissional em Computação Aplicada da UnB.
User: brunogresende
binomial-distribution,Binomial and Beta-Binomial mixture models for counts data.
Organization: caravagnalab
Home Page: https://caravagnalab.github.io/BMix/
binomial-distribution,VIBER - Variational Binomial Mixtures
Organization: caravagnalab
binomial-distribution,This model can be used to find how many genes are involved in psychiatric disease. To verify the model we have taken the example of schizophrenia.
User: dineshssdn-867
binomial-distribution,Pip package for Gaussian and Binomial main functionalities like plotting, adding and computing statistics like mean and standard deviation
User: esraahisham753
binomial-distribution,A PyPi package for Gaussian Distribution and Binomial Distribution
User: gangadharbhuvan
Home Page: https://pypi.org/project/bhuvan-probability/1.1/
binomial-distribution,R package binomial
User: gastonstat
binomial-distribution,PHP implementation of statistical probability distributions: normal distribution, beta distribution, gamma distribution and more.
User: gburtini
binomial-distribution,A package that can calculate Gaussian as well as Binomial distributions.
User: geekquad
Home Page: https://pypi.org/project/binogauss/
binomial-distribution,The binomial tree model is a commonly used approach for pricing derivatives, such as options. The basic idea behind the model is to create a tree of possible stock prices over time, based on a set of input parameters
User: gokkayahmet
binomial-distribution,Option pricing models
Organization: goption
binomial-distribution,PyPi package for modelling Probability distributions
User: hot9cups
binomial-distribution,A rock, paper, scissors "AI" which predicts the user's next move from a binomial distribution of the frequency of previous moves; with a CSV player database
User: ivansowerby
binomial-distribution,A tool help you generate Binomial Simulation.
Organization: jingshing-tools
binomial-distribution,Matéria de Análise Estatística de Dados da pós-graduação em Ciência de Dados e Machine Learning
User: marcosvel
binomial-distribution,PyGauss_Binomial is a Python package that provides functionality for working with probability distributions. It includes classes for the Gaussian and Binomial distributions, along with general distribution calculations and visualizations.
User: mohaomar495
binomial-distribution,This repository is a resource for learning and applying statistics in data science. It contains code examples and explanations for many common statistical concepts, from descriptive statistics through regression and time series analysis.
User: mohd-faizy
binomial-distribution,Assignment Basic Stats
User: moindalvs
binomial-distribution,An Jupyter notebook experimental discrete binomial distribution grapher
User: nasserkessas
binomial-distribution,Gaussian and Binomial distributions Python Package for Machine Learning and Data Science
User: nehakalbande
Home Page: https://pypi.org/project/neha-probability-distribution/
binomial-distribution,Exercises solved for the Practical Statistics Module of Udacity's DAND: assignments and practice problems
User: nirupamaprv
binomial-distribution,Confidence intervals for binomial proportions.
User: nolanbconaway
binomial-distribution,Simples calculadora de probabilidade desenvolvida em Java para distribuição binomial e poisson.
User: otaviosilva22
binomial-distribution,Saratov State University, CSIT. Discipline "pseudo-random numbers generators" (псевдослучайные генераторы, rus)
User: podkidyshev
binomial-distribution,C Programming Solutions for Real Analysis and Numerical Analysis Problems
User: psuchi
Home Page: https://sxccoding.blogspot.com/
binomial-distribution,PyPi package for implementation of Gaussian and Binomial probability distributions.
User: r-aravind
binomial-distribution,Binomial experiment simulation using Matplotlib.
User: realspal
binomial-distribution,Transcribing Speech with Multinomial Diffusion, training code and models.
User: rf5
binomial-distribution,A Binomial Distribution Calculator with useful charts
Organization: rgbstudios
Home Page: https://rgbstudios.org/binomial-calc
binomial-distribution,A python package for easy dealing with Binomial and Gaussian distribution
User: ritvik-sapra
binomial-distribution,This repository has been created to complete an assignment given by datainsightonline.com. This assignment is a part of Data Insight | Data Science Program 2021.
User: rubayat-tithi
binomial-distribution,Computation of Reliability Statistics: Reliability, Confidence, Assurance
User: sanjaymjoshi
Home Page: https://github.com/sanjaymjoshi/relistats
binomial-distribution,Jupyter notebook for reliability statistics
User: sanjaymjoshi
Home Page: https://github.com/sanjaymjoshi/relistats_notebook
binomial-distribution,Generation of random samples using R
User: sanjushasuresh
binomial-distribution,Assignment Basic Stats
User: shaikriyazsandy
binomial-distribution,Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.
User: sharmaroshan
binomial-distribution,10 Days of Statistics Hackerrank Solutions
User: sharmasapna
binomial-distribution,This repository contains the solutions to HackerRank's 10 Days of Statistics.
User: sid-149
Home Page: https://www.hackerrank.com/domains/tutorials/10-days-of-statistics
binomial-distribution,In this code, I have used Binomial and Time-series algorithms to made predictions and derive a forecast for the target variables
User: sonal-shetty
binomial-distribution,10 Days of Statistics Challenges at HackerRank
User: srgrace
Home Page: https://srgrace.github.io/10-Days-of-Statistics-Challenges/
binomial-distribution,Use random sampling to calculate probabililties of winning tennis matches based on constant and alternating probabilities of winning a (service) game.
User: th3r3ald0n
binomial-distribution,Predicting the Likelihood of Diabetes Using Common Signs and Symptoms - About one-third of patients with diabetes do not know that they have diabetes according to the findings published by many diabetes institutes around the world. Detecting and treating diabetes patients at early stages is critical in order to keep them healthy and to ensure their quality of life is not compromised. Early detection will also help to mitigate the risk of serious complications like heart disease & stroke, blindness, limb amputations, and kidney failures as a result of diabetes. The data set consists of signs and symptoms of 516 newly diabetic or would be diabetic patients, who presented at Sylhet Diabetes Hospital in Sylhet, Bangladesh. The data had been collected using the direct questionnaires method at the hospital under the supervisor of Doctors. The Source for the data set is the UCI Machine Learning Repository at, https://archive.ics.uci.edu/ml/datasets/Early+stage+diabetes+risk+prediction+dataset. The data set has 16 descriptive features and one target feature. This study intends to build a logistic regression model to predict the likelihood of having diabetes using common signs and symptoms presented by patients. A successful model will enable early detection of diabetes through signs and symptoms shown by possible patients. This study consists of two phases: 1) Phase I - preprocess and explore the data set in order to make it ready to consume for model development. 2) Phase II - build a logistic regression model to predict the likelihood of having diabetes based on signs and symptoms. The Phase I part has already been completed under previous work/submission and this report intends to cover the work carried out for Phase II. All the activities have been performed in the R package and the report has been compiled using R-Markdown.
User: udeshikadissa
binomial-distribution,Try to compress incompressible data
User: username1565
Home Page: https://rextester.com/WRGJ65269
binomial-distribution,Implementing multivariate distribution using python.
User: uttarayan002
binomial-distribution,StatsPykage is an open source Python package for analysing standard statistical distributions: Gaussian, Binomial, Poisson etc. distributions; hosted on PyPi.org
User: vaasucodez
Home Page: https://pypi.org/project/StatsPykage/
binomial-distribution,Meta-regression of diagnostic accuracy studies in Stata
User: vnyaga
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