anova-analysis
There are 1 repository under anova-analysis topic.
weijie-chen / Basic-Statistics-With-Python
Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.
Language:Jupyter Notebook 100anita-owens / Machine-Learning-R
End-to-end marketing and business analysis projects utilizing machine learning and statistical analysis techniques using the R programming language.
Language:Jupyter Notebook 7edaaydinea / OP2-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease-with-MRI-data
This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.
Language:Jupyter Notebook 728101991SUNNY / Statistics_study
about statistical techniques for Data Science
Language:Jupyter Notebook 5DataSpieler12345 / python-for-ds-ml
My Python learning experience 📚🖥📳📴💻🖱✏
beautifulsoupmatplotlib-pyplotnumpy-librarypandas-libraryscipysckit-learnseabornscikitlearn-machine-learningmachine-learning-algorithmsanova-analysismonte-carlo-methodst-distributionanova-testmatplotlibrandomforestclassifierrandomforestregressorpolynomial-regressionridge-regressionlasso-regressionnltk-pythonLanguage:Jupyter Notebook 5ashishyadav24092000 / Residual-Analysis-in-Linear-Regression
Residual analysis in Linear regression is based on examination of graphical plots which are as follows :: 1. Residual plot against independent variable (x). 2. Residual plot against independent variable()y. 3. Standardize or studentized residual plot 4. Normal probability plot
Language:Jupyter Notebook 2- Statistics_Multiple-Mean-Comparison_ANOVA_and_Non-Parametric-Tests
David-B3 / Statistics_Multiple-Mean-Comparison_ANOVA_and_Non-Parametric-Tests
Perform a STEP by STEP multiple mean comparison analysis on R
Language:R 2 nalron / project_income_analysis
Projet pour une banque présente dans plusieurs pays, l'objectif est de cibler les prospects les plus susceptibles d'avoir, plus tard dans leur vie, de hauts revenus.
Language:Jupyter Notebook 2This problem concludes which factor is significantly effecting the CAT Score out of College type,program type,and interaction factor type for sample data. Here factorial Experiment design and Two Way Anova is used.
Language:Jupyter Notebook 1Elliott-dev / Pymaceutical_ANOVA_Tukey
For this Project, I first applied an analysis of variance (ANOVA) model to the Pymaceutical dataset and then did a post-hoc analysis of the results by using Tukey Honest Significant Difference (HSD) to determine which drug treatments in the dataset significantly reduce tumor volume and metastasis. I then wrote a summary of my findings.
Language:Jupyter Notebook 1- Language:HTML 1
philsaurabh / Tutorials
Tutorials for BSE classes.
Language:Jupyter Notebook 1Rae-Zou / Statistics-in-R
A few statistical methods appropriate for applications in the biological and social sciences.
Language:R 1aditiisaxena / Reservoir-Water-Level-Analysis
Econometrics project that aims to analyze the relationship between Reservoir Water Level and various Power Inequalities in different states of India.
Language:R 0AMauGomez / Analisis-Estadistico-de-Datos-vinicolas
Se realiza un análisis estadístico descriptivo de datos obtenidos en 3 viñedos diferentes con el objetivo de encontrar diferencias y relaciones entre las variables medidas, para concluir las características del vino de cada viñedo.
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
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DandiMahendris / regression-model-cac
Regression models for predicting customer acquisition costs (CAC) and the effectiveness of univariate and lasso feature selection techniques in improving the accuracy.
Language:Jupyter Notebook 0- Language:R 0
jesschannn / datasci_6_anova
Gain hands-on experience with ANOVA analysis, understanding its assumptions, and applying it to real-world datasets to understand differences among group means.
Language:Jupyter Notebook 0joycekuohmoukouri / snack
See Readme.md
Language:HTML 0jxnpass / GlucCog-Final
The data, R programming, and outputs for the research paper testing glucose consumption and cognitive factors. I used R to clean, process, model, and visualize the data. The outputs folder contains the finished products. Link to paper pending.
Language:R 0lucashomuniz / Project-8
Statistical Analysis of Hospitalization Costs: Leveraging SQL and R for Insights
Language:R 0m92vyas / Regression_Analysis_Steel_Offer_Prices
Regression | Analysis | Modelling | Bayesian Search CV | Data Leakage | Overfit/Underfit | End-to-End Project
Language:Jupyter Notebook 0nlawira / india-house-rent-prediction
This repository contains a project I completed for an NTU course titled CB4247 Statistics & Computational Inference to Big Data. In this project, I applied regression and machine learning techniques to predict house prices in India.
Language:Jupyter Notebook 0seherkuutlu / Avila-dataset-analysis-with-python
In this project I used classification algorithms for analysis of avila dataset
Language:Jupyter Notebook 0- Data-Analytics_Iris_Data
SteezieJ / Data-Analytics_Iris_Data
Analytics performed on the fisher iris dataset
Language:Python 0 ThoKimHuynh / TMDB_movie_analytic_project
Very detailed exploratory data analysis is executed on the dataset. Univariate and bivariate analysis using ANOVA and Chi-Squared Test between continuous and categorical variables are explored to find out the relationship between input variables and the output target 'revenue'.
Language:Jupyter Notebook 0alanzanardi / hematological-analysis
Here I have collected two scripts written in Python and SQL, designed for analyzing data related to physiological parameters derived from experimental measurements. These tools were created to expedite the statistical analysis process, extracting and sorting data from tabular-format datasets, in my specific case studies.
Language:PythonRegression Approach to Anova.
Language:Jupyter Notebookgaborhor / Happiness-Data-EDA
Introductory-level EDA on UN Happiness Report and World Bank Metrics from 2019
Kovenda / A-B-Testing-a-Cotton-Mill
To increase efficiency of a cotton mill. I set up an ANOVA 3 factor analysis model in R to determine best spindle & position that produces the longest roving. The only significant difference in roving length was observed when position was 3 and spindle was 1 or 2. (ANOVA Model in R)
Language:Rnanaaefua / MechaCar
Statistical analysis and visualizations was written in R programming, Load, clean up, reshape datasets using Tidyverse. visualize datasets with basic plots such as line, bar, scatter plots using ggplot2, Implemented and evaluated one-sample t-Tests, two-sample t-Tests, and analysis of variance (ANOVA) models for the dataset.
Language:Rpngo1997 / Project-Data-Science-Salary-Prediction
Project Data Science Salary Prediction using SAS.
Language:SASSahar-dev / Multivariate_statistics
Explore multivariate statistics through hands-on university projects. Each project delves into real-world datasets, applying statistical techniques like ANOVA, two-factor analysis, and binary logistic regression. Understand data analysis, interpretation, and modeling with R.
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