anova-analysis | Topic | Ecosyste.ms: Repos

Topic: "anova-analysis"

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.

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AliAmini93/Fault-Detection-in-DC-microgrids

Using DIgSILENT, a smart-grid case study was designed for data collection, followed by feature extraction using FFT and DWT. Post-extraction, feature selection. CNN-based and extensive machine learning techniques were then applied for fault detection.

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edaaydinea/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 - Size: 16.9 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 1

DataSpieler12345/python-for-ds-ml

My Python learning experience 📚🖥📳📴💻🖱✏

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anita-owens/Machine-Learning-R

End-to-end marketing and business analysis projects utilizing machine learning and statistical analysis techniques using the R programming language.

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28101991SUNNY/Statistics_study

about statistical techniques for Data Science

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ashishyadav24092000/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

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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.

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nlawira/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.

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elenadj7/anova-calculator

A simple ANOVA calculator with arbitrary number of alternatives and measurements.

Language: Java - Size: 9.8 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

ashishyadav24092000/CAT_SCORE_ANALYSIS_FACTORIAL_EXPERIMENT

This 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.

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philsaurabh/Tutorials

Tutorials for BSE classes.

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Rae-Zou/Statistics-in-R

A few statistical methods appropriate for applications in the biological and social sciences.

Language: R - Size: 589 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

horizonhou/Evaluation_AWS_Transcirbe Fork of Sirui1303/QTM350FinalProject

Size: 9.78 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

Relostar-Devil/Design-of-Experiments-DOE

This Design of Experiments (DOE) study for SCM 517 optimizes a Lego race car’s performance by analyzing the impact of tire size, windscreen size, axle length, and car slant. Using Minitab, factorial design, and statistical analysis, the project identifies the optimal configuration for maximizing travel distance.

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mananabbasi/Applied_Statistics_-_Data_Visualisation_

This repository contains R projects focused on statistical analysis, using techniques like EDA, Hypothesis Testing, ANOVA, Normalization, and Linear Regression. Each project includes datasets, R scripts, results (plots, tables), and a detailed README for insights and methodology.

Language: R - Size: 1.26 MB - Last synced at: 18 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

gaborhor/Happiness-Data-EDA

Exploratory Data Analysis in R on UN Happiness Report and World Bank Metrics from 2019

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rameshram96/visvaR

Shiny-Based Statistical Solutions for Agricultural Research

Language: R - Size: 1.35 MB - Last synced at: 12 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

vigneshvc99/diabetes_classification

Diabetes Classification Using KNN Model

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pradyumna03/design-of-engg-exp

Size: 1.33 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

alanzanardi/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: Python - Size: 805 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Sahar-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.

Language: Jupyter Notebook - Size: 472 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jxnpass/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.

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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.

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m92vyas/Regression_Analysis_Steel_Offer_Prices

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aditiisaxena/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 - Size: 1.5 MB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

CS2219/poc_data_analysis

CROWN PROSECUTION SERVICE CASE OUTCOMES BY PRINCIPAL OFFENCE CATEGORY (POC) DATA ANALYSIS AND VISUALIZATION REPORT

Language: R - Size: 6.84 KB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

faa-99/R-base

This repository is a code base for R for the purpose of development and code re-use

Language: R - Size: 7.81 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

seherkuutlu/Avila-dataset-analysis-with-python

In this project I used classification algorithms for analysis of avila dataset

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nanaaefua/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: R - Size: 329 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

brian09088/R-Applied-Statistics

MA4094*-應用統計

Language: R - Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Elliott-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.

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