p-values
There are 0 repository under p-values topic.
aangelopoulos / ppi_py
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
Language:Python 172- Language:R 170
greed2411 / PLinearRegression
Scikit-Learn's linear regression extended with p-values.
Language:Jupyter Notebook 9- Language:R 8
imbi-heidelberg / DescrTab2
This package provides functions to create descriptive statistics tables for continuous and categorical variables.
Language:R 8helske / statvis
Can visualization alleviate dichotomous thinking? Effects of visual representations on the cliff effect
Language:HTML 7skbormann / stata-tools
A collection of Stata scripts and dialog boxes
Language:Stata 3vaitybharati / 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.
Language:Jupyter Notebook 3DudbridgeLab / ebf
Empirical Bayes factors for objective statistical evidence
Language:R 2- Real-Estate-Statistical-Modeling
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.
Language:Jupyter Notebook 2 jcatanza / fastai_notebooks
Experiments with fastai
Language:Jupyter Notebook 2deeprpatel700 / Regression_Analysis_-_Factors_affecting_Life_Expectancy
Statistical Multivariate Regression Analysis to determine the effects of mortality, economic and social factors on life expectancy.
Language:R 1LaurentVeyssier / Starbucks_case_study_Udacity_Data_Science
Case study from UDACITY Data Scientist Nanodegree
Language:Jupyter Notebook 1naailrch / 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 1- Language:C++ 1
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.
Language:Jupyter Notebook 1ytliu0 / p-value_calculators
p-value calculators written for STAT 200 at UIUC
Language:JavaScript 1acaturan / Caturan-BIMM-143-Project-2-Final
This repository consists of an R Notebook utilizing the following bioinformatics methods: p-values and Deep Neural Networks. Histograms have been used to plot the differences between before training and after training results. The csv file "BIMM 143 Project 2.csv" will be necessary for code to run.
0ajombik / Project-2
If protein sequence NR2F6 is very similar between humans and mice, then mice that have SNP rs11856995 might show photic sneeze reflex (PSR) phenotype.
Language:Jupyter Notebook 0Akotovets1 / MechaCar_Statistical_Analysis
Statistics and R
Language:R 0ArpitaShrivas001 / Credit_Balance_Analysis
Executed Regression modelling, hypothesis testing and statistical analysis to predict factors affecting credit card balances in a firm. Tools & technologies: ANOVA, p-value, R square
0dmarks84 / 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.
Language:Jupyter Notebook 0gbourbeau / isthissignif
Use the isthissignif python package to test whether or not your OLS regression model is "statistically significant" based on different criteria.
Language:HTML 0hmulagund / 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.
Language:Jupyter Notebook 0LarryLoveIV / Capstone-I
Philadelphia Real Estate Trends and Relationships with COVID-19
Language:Jupyter Notebook 0- Language:R 0
ManuelaCarriero / microarray-analysis
Statistical data analysis of microarray data of Pyrococcus Furiosus exposed to gamma irradiation.
Language:R 0PatilSukanya / Assignment-05.-Multiple-Linear-Regression-Q1
Used libraries and functions as follows:
Language:Jupyter Notebook 0acfthomson / MechaCar_Statistical_Analysis
Fictional company AutosRUs’ newest prototype, the MechaCar, is suffering from production troubles that are blocking the manufacturing team’s progress. AutosRUs’ senior management enlisted assistance from the data analytics team to review the production data for insights that may help the manufacturing team overcome their production issues.
Language:Ranilesh-prajapati / Probability-and-Statistics-for-Machine-Learning
Probability and Statistics for Machine Learning
Language:Jupyter Notebook- Language:Python
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:Romogbolahan94 / 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:PythonPeterSchuld / TUe-Improving_Statistical_Inferences
Eindhoven University of Technology (TU/e) course "Improving your statistical inferences" by Daniel Lakens on Coursera (completed Dec 2022).
Language:Rstephperillo / MechaCar_Statistical_Analysis
Analyzing MechaCar production data with R in order to troubleshoot issues that are blocking AutoRUs' manufacturing process.
Language:Rtylerrussin / Fish-Dimensions-Regression-Analysis
🐟 Statistical analysis of fish dimensions and weights implemented into linear regression (Ordinary Least Squares) predictive model
Language:Python
