aangelopoulos/ppi_py

A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.

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MicheleNuijten/statcheck

A spellchecker for statistics

Language: R - Size: 2.53 MB - Last synced at: 24 days ago - Pushed at: about 2 months ago - Stars: 178 - Forks: 29

imbi-heidelberg/DescrTab2

This package provides functions to create descriptive statistics tables for continuous and categorical variables.

Language: R - Size: 9.9 MB - Last synced at: 11 days ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 7

greed2411/PLinearRegression

Scikit-Learn's linear regression extended with p-values.

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agbarnett/intervals

Examining confidence intervals in abstracts

Language: R - Size: 18.4 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 8 - Forks: 4

helske/statvis

Can visualization alleviate dichotomous thinking? Effects of visual representations on the cliff effect

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skbormann/stata-tools

A collection of Stata scripts and dialog boxes

Language: Stata - Size: 714 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 2

vaitybharati/Assignment-05-Multiple-Linear-Regression-1

Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.

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griffinbran/Real-Estate-Statistical-Modeling

Predictive analysis, with feature engineering, and machine learning (ML) algorithms, such as linear regression, applied to predict the final sale price of homes in Ames, IA from 2006-2010.

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jcatanza/fastai_notebooks

Experiments with fastai

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DudbridgeLab/ebf

Empirical Bayes factors for objective statistical evidence

Language: R - Size: 325 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

pekkizen/rtp

Methods for combining p-values.

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vaitybharati/P26.-Supervised-ML---Multiple-Linear-Regression---Cars-dataset

Supervised-ML---Multiple-Linear-Regression---Cars-dataset. Model MPG of a car based on other variables. EDA, Correlation Analysis, Model Building, Model Testing, Model Validation Techniques, Collinearity Problem Check, Residual Analysis, Model Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance & 2. Leverage value, Improving the Model, Model - Re-build, Re-check and Re-improve - 2, Model - Re-build, Re-check and Re-improve - 3, Final Model, Model Predictions.

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ytliu0/p-value_calculators

p-value calculators written for STAT 200 at UIUC

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lmizner/Codecademy_Analyze_Data_Python

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eZWALT/Probablity-and-Statistics Fork of AleexHrB/Heapsort

FIB-PE 2021-22 Q1 Probability and Statistics subject final project

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MiracleOny/MechaCar-Statistical-Analysis

Conducted statistical analysis on MechaCar, a new prototype suffering from production troubles, data to provide insights that may help the manufacturing team.

Language: R - Size: 459 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

dmarks84/Ind_Project_European-Soccer-Top-Points-Contributors--Kaggle

Independent Project - Kaggle Dataset-- I worked on the European Soccer Dataset, using SQL (SQLite) to read in the data and then data wrangling before running statistical analysis and hypothesis testing on questions of who helps earn the most points for their team.

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Laeti-dev/data_Stats

Probs practice

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hmulagund/Assignment_04_Simple_Linear_Regression-1

Assignment-04-Simple-Linear-Regression-1 Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regression.

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naailrch/Alzheimers-Mental-Health-and-Healthy-Aging-Project

This project attempted to analyze if race and age had any effects on the frequency of mental health issues in older adults.

Language: R - Size: 1.75 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

anilesh-prajapati/Probability-and-Statistics-for-Machine-Learning

Probability and Statistics for Machine Learning

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LLudivina/MechaCar_Statistical_Analysis

Language: R - Size: 221 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

rstats-tartu/geo-htseq

Analysis of p value sets submitted to NCBI GEO database as supplementary files

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PeterSchuld/TUe-Improving_Statistical_Inferences

Eindhoven University of Technology (TU/e) course "Improving your statistical inferences" by Daniel Lakens on Coursera (completed Dec 2022).

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LaurentVeyssier/Starbucks_case_study_Udacity_Data_Science

Case study from UDACITY Data Scientist Nanodegree

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omogbolahan94/Containerize-Customer-Churn-Prediction

In this project, the model is save and reused for prediction. Also, it is being containerize with docker to be ready for deployment.

Language: Python - Size: 172 KB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

saboye/predicting-sales-performance

project to predict smartphone sales based on the marketing budget spent on advertising using three platforms involves collecting data on marketing spending and smartphone sales, and using statistical and machine learning techniques to build a model that can predict future smartphone sales based on changes in marketing budget.

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gbourbeau/isthissignif

Use the isthissignif python package to test whether or not your OLS regression model is "statistically significant" based on different criteria.

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PatilSukanya/Assignment-05.-Multiple-Linear-Regression-Q1

Used libraries and functions as follows:

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stephperillo/MechaCar_Statistical_Analysis

Analyzing MechaCar production data with R in order to troubleshoot issues that are blocking AutoRUs' manufacturing process.

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Akotovets1/MechaCar_Statistical_Analysis

Statistics and R

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ivan-liuliaev/courses

Code from all the online courses

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tylerrussin/Fish-Dimensions-Regression-Analysis

🐟 Statistical analysis of fish dimensions and weights implemented into linear regression (Ordinary Least Squares) predictive model

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LarryLoveIV/Capstone-I Fork of jasonli19/Capstone-I

Philadelphia Real Estate Trends and Relationships with COVID-19

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ptfonseca/pcal

pcal: Calibration of p-values for point null hypotheses

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marmello77/multiple-networks

An R script to help analyze the structure of multiple networks at the same time.

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jcatanza/utilities

utility notebooks

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rupambh/rupamb625

A package for aggregating p-values.

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iacobo/kmer-hmp 📦

Repo for code and data related to project developing methodology for applying Harmonic Mean P-Values to sliding windows of multiple aligned genomes.

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humburg/pvalue-distribution

A shiny app to visualise p-value distributions. Intended to facilitate the discussion of how to interpret p-values.

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mathsyouth/statistics_notes

Identifying and avoiding common misinterpretations in using statistics

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tpall/mat-looduses

Matemaatika loodusteadustes doktorikooli ettekande slaidid

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anushreeshuk/info370-finalproject Fork of jlibman/info370-finalproject

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jonathanecm/fp-template Fork of cfss-old/fp-template

Develops a script in R to extract p-values from pdfs using XML format and performs analysis on a large text corpus.

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