inferential-statistics
There are 11 repositories under inferential-statistics topic.
tirthajyoti / Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Language:Jupyter Notebook 884sfbrigade / data-science-wg
SF Brigade's Data Science Working Group.
Language:Jupyter Notebook 187Pegah-Ardehkhani / Statistics-and-Probability-in-Python
A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
confidence-intervalscontinuous-distributionsdiscrete-distributionshypothesis-testinginferential-statisticsmatplotlibp-valueparametric-hypothesis-testsprobabilityprobability-theorypythonpython-statisticsrandom-variablesregressionscipystatiscal-learningstatistical-hypothesis-testingstatisticsstatistics-for-data-sciencestatistics-using-pythonLanguage:Jupyter Notebook 137sharmaroshan / Statistics-for-Data-Science
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.
Language:Jupyter Notebook 123duttashi / learnr
Exploratory, Inferential and Predictive data analysis. Feel free to show your :heart: by giving a star :star:
Language:R 78aschleg / hypothetical
Hypothesis and statistical testing in Python
Language:Python 64- inferr
rsquaredacademy / inferr
Parametric and non-parametric statistical tests
Language:R 37 - Language:Python 27
LastAncientOne / Data-Science
Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.
Language:Jupyter Notebook 24Chandrakant817 / Statistics-for-Data-Science
Statistics for Data Science and Machine Learning Handwritten Notes
xiaojie-qian / Introduction-to-Statistics
Introduction to Statistics Stanford University
mickcrosse / PERMUTOOLS
A MATLAB package for multivariate permutation testing and effect size measurement
Language:MATLAB 18ankitbit / Advanced_Statistical_Inference
This repository has scripts and other files that are part of the lecture notes and assignments of the course "Advanced Statistical Inference" taught at FME, UPC Barcelonatech.
Language:HTML 17judecalvillo / Brand-Ambassador-Finder
New dedicated repo! This marketing data science app helps brands statistically identify their organic -and influential- ambassadors, thereby nullifying the need for paid brand ambassadors. :)
okgreece / gginference
Visualise the Results of Inferential Statistics using 'ggplot2'
Language:R 12ahujaya / Analyze-AB-Test-Results-Python
A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these. For this project, you will be working to understand the results of an A/B test run by an e-commerce website. Your goal is to work through this notebook to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.
Language:HTML 11jlpscampos / Ensemble_EMD_significance_test
Ensemble Empirical Mode Decomposition Significance Test
Language:MATLAB 7nolanbconaway / poisson-etest
A poisson e-test for python.
Language:Fortran 7victorvicpal / biofes
Biomedical Feature Selection for Machine Learning Models
Language:Python 7Violent-Profession-Transition / MIT_6.00SC_VPT_Learn_Together
as taught in 2011 MIT 6.00SC Introduction to Computer Science and Programming
Language:Python 6- writR
matcasti / writR
writR: is an R package for automated inferential testing (for group differences) and reporting based on parametric assumptions, which are tested automatically for test selection.
Language:R 5 AntoineSoetewey / statistics-201
Shiny app to perform statistical inference on mean(s), proportion(s) and variance(s). See https://antoinesoetewey.shinyapps.io/statistics-201/
Language:R 4huzaifakhan04 / amazon-product-recommendation-system-web-application-using-mongodb-pyspark-and-apache-kafka
This repository includes a web application that is connected to a product recommendation system developed with the comprehensive Amazon Review Data (2018) dataset, consisting of nearly 233.1 million records and occupying approximately 128 gigabytes (GB) of data storage, using MongoDB, PySpark, and Apache Kafka.
Language:Jupyter Notebook 4Mephistopheles-0 / toothgrow-stat-analysis
A Basic Statistical Analysis of the ToothGrowth Dataset (The Effect of Vitamin C on Tooth Growth in Guinea Pigs)
Language:HTML 3tusharverma7 / LinearRegression_Demand-forecasting
A Linear Regression model using Python designed to predict demands for a bike rental company based on weather conditions.
Language:Jupyter Notebook 3BALAJIHARIDASAN / Statistics
This Repository consist of projects and basics theory about the statistics and data analytics approaches
Language:Jupyter Notebook 2- Language:Jupyter Notebook 2
jarrodtky / BankCustomerData_EDA-StatisticalAnalysis_SAS-Studio
Statistical Analysis for Bank Customer Data Using SAS Studio
Language:SAS 2Likhitha310 / Statistical_Analysis
Descriptive Statistics, Inferential Statistics, Regression Analysis, Time Series Analysis, Survival Analysis, Factor Analysis, Cluster Analysis, ANOVA, Principal Component Analysis, Multivariate Analysis
Language:Jupyter Notebook 2lmangnier / Benchmark_Integration_Metagenomics_Metabolomics
This repo is related to our benchmark entitled: "Decoding the microbiome-metabolome Nexus: A Systematic Benchmark of Integrative Strategies". We provide code to integrate metagenomics and metabolomics data to answer a variety of questions: such as global associations, data summarization, individual associations and feature selection.
Language:R 2M-MSilva / Forecasting-and-analyzing-the-Financial-Market
End-to-end project to predict the closing price of the stock market. (time series and statistical inference)
Language:Jupyter Notebook 2MasterCruelty / StatisticStuffs
A bunch of statistic stuffs in LaTeX and Jupyter.
Language:Jupyter Notebook 2Mgobeaalcoba / Inferential_statistics_with_python
Explore the world of inferential statistics using Python. Learn hypothesis testing, confidence intervals, and statistical analysis techniques for data-driven decision-making and insights.
Language:Jupyter Notebook 2rbga / R-Notebook-Data-Analysis
This R Studio Markdown aims to analyze data from 2020 of FBI's Hate Crime Statistics with various key parameters as control variables and defend hypotheses about hate crimes and bias motivation.
data-cleaningdata-interpretationdata-manipulationdata-visualizationdata-visualization-rdescriptive-statisticsexploratory-data-analysishypothesis-testinginferential-statisticslinear-regressionr-data-analysisstatistical-analysisstatistical-testsdata-analysis-interpretationdata-analysis-packagesdata-analysis-rstudiodata-analysis-toolsdata-analysis-visualizationdata-visualization-chartsdata-visualization-ggplot2Suryan5h / MachineLearning_Projects
Learning inferential_Stats, machine learning models, exploratory data analysis, visualization using seaborn,matplotlib
Language:Jupyter Notebook 2tnathu-ai / Hypothesis-Testing-Crosfit-Case-Study
Hypothesis Testing CrossFit Game 2015
Language:Jupyter Notebook 2
