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residual-analysis

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Nasef2017 / Bathymetrix-AI

Sponsor
Star 21

Bathymetrix-AI is a professional QGIS research toolkit for high-precision Satellite-Derived Bathymetry (SDB). The toolkit integrates multispectral satellite imagery with ICESat-2 (ATL24) LiDAR bathymetry through a modular and adaptive Machine Learning framework.

machine-learning qgis-plugin statistical-analysis hydrography ransac tidal automated-machine-learning ostu-threshold sunglint icesat-2 residual-analysis satellite-derived-bathymetry
  • Updated Aug 20, 2026
  • Python

vaitybharati / Assignment-05-Multiple-Linear-Regression-2

Star 5

Assignment-05-Multiple-Linear-Regression-2. Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few y…

python numpy smf eda p-value mlr ols-regression statsmodels correlation-analysis collinearity-diagnostics heteroscedasticity vif rsquare-values pairplot multi-linear-regression leverage-score residual-analysis cooks-distance homoscedasticity regress-exog
  • Updated Jun 12, 2021
  • Jupyter Notebook

MiguelGarcaoSilva / cml_synthetic_demo

Star 2

Interactive web app for spatiotemporal decomposition, actionable urban-dynamics statistics, and residual-motif discovery from mobile-phone data — companion tool to Silva, Madeira & Henriques (EPB 2024; Pattern Recognition 2026)

urban-planning postgis motif-discovery lisbon plotly-dash timescaledb time-series-decomposition spatiotemporal-analysis matrix-profile explainability urban-dynamics residual-analysis mobile-phone-data
  • Updated Aug 21, 2026
  • Python

ashishyadav24092000 / Residual-Analysis-in-Linear-Regression

Star 2

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

linear-regression qqplot matplotlib-pyplot seaborn-plots residual-analysis anova-analysis
  • Updated Jan 13, 2022
  • Jupyter Notebook

vaitybharati / P27.-Supervised-ML---Multiple-Linear-Regression---Toyoto-Cars

Star 2

Supervised-ML---Multiple-Linear-Regression---Toyota-Cars. 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-buil…

python smf eda scatter-plot ols-regression statsmodels correlation-analysis collinearity-diagnostics multiple-linear-regression heteroscedasticity rsquare-values residual-analysis cooks-distance influence-plot homoscedasticity leverage-value
  • Updated Jun 14, 2021
  • Jupyter Notebook

frankraDIUM / Chicago-Urban-Mobility-Intelligence-Platform

Star 2

This project analyzes urban mobility patterns in Chicago by combining satellite imagery (Sentinel-2), OpenStreetMap road data, population density, business licenses/POI data, and a large Chicago taxi dataset (~14 million trips in 2024–early 2026).

machine-learning ai geospatial urban-planning artificial-intelligence xgboost feature-engineering temporal geopandas rasterio model-evaluation ndvi dasboard urban-data-science osmnx getis-ord-g streamlit geoai residual-analysis folium-choropleth-map
  • Updated Aug 22, 2026
  • Jupyter Notebook

nlawira / India-House-Rent-Prediction

Star 1

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.

python machine-learning linear-regression sklearn pandas seaborn matplotlib random-forest-regression gradient-boosting-regressor xgboost-regression residual-analysis lightgbm-regressor ordinary-least-square-regression anova-analysis catboost-regressor
  • Updated Sep 15, 2024
  • Jupyter Notebook

areeba0 / Bitcoin-Price-Forecasting-with-Linear-Regression-Polynomial-Regression-and-ARIMA

Star 1

Forecast Bitcoin daily closing prices using a Python repository featuring regression and time series models. From Linear and Polynomial Regression to ARIMA, gain insights into cryptocurrency trends. Visualize historical data, evaluate models with key metrics, and analyze residuals for validation

python bitcoin numpy linear-regression scikit-learn jupyter-notebook pandas matplotlib 10000 polynomial-regression regression-models statsmodels model-evaluation time-series-analysis arima-forecasting residual-analysis plotify
  • Updated Jun 17, 2024
  • Jupyter Notebook

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

Star 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. Levera…

python eda scatter-plot ols-regression statsmodels aic correlation-analysis collinearity-diagnostics heteroscedasticity p-values vif t-score multi-linear-regression residual-analysis cooks-distance r-square-values influence-plot homoscedasticity leverage-value
  • Updated Jun 13, 2021
  • Jupyter Notebook

UdeshikaDissa / Logistic-Regression_Analysis-of-Categorical-Data

Star 1

Predicting the Likelihood of Diabetes Using Common Signs and Symptoms - About one-third of patients with diabetes do not know that they have diabetes according to the findings published by many diabetes institutes around the world. Detecting and treating diabetes patients at early stages is critical in order to keep them healthy and to ensure th…

machine-learning data-visualization feature-selection r-markdown supervised-learning confidence-intervals logistic-regression data-wrangling goodness-of-fit sensitivity-analysis hypothesis-testing statistical-models binomial-distribution diabetic-prediction residual-analysis
  • Updated May 13, 2021
  • HTML

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