Module for evaluation of homoscedasticity and corrections
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Jun 22, 2022 - Jupyter Notebook
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breusch-pagan
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This is a group project for MTH416A: Regression Analysis at IIT Kanpur
r prediction ozone ridge-regression rmse aic principal-components-regression shapiro-wilk vif auto-arima box-cox scree-plot scatterplot-matrix qq-plot breusch-pagan variance-decompotion-proportion alternating-conditional-expectation mallows-cp stepwise-selection multiple-time-series
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Dec 3, 2021 - R
Demonstrativo Detalhado de uma anΓ‘lise de RegressΓ£o Linear, e NΓ£o Linear MΓΊltipla em planos de saΓΊde.
python data-science machine-learning ggplot2 ai jupyter-notebook tidyverse data-visualization data-analysis multiple-linear-regression pyforest breusch-pagan boxcox multiple-non-linear-regression shapiro-francia
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Aug 18, 2021 - Jupyter Notebook
Interactive Streamlit app for marketing campaign analytics and prediction. Includes dashboards, EDA, econometrics tests (ADF, cointegration, OLS diagnostics), ML pipelines with preprocessing, CV, and persistence. Predict outcomes with Linear/Ridge/Lasso/Random Forest regressors.
random-forest numpy linear-regression sklearn pandas seaborn adf ridge-regression cointegration lasso-regression matplotlib-pyplot breusch-pagan
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Sep 29, 2025 - Jupyter Notebook
Predicting wage in the uswage dataset (Linear Regression). Model Selection, Model Diagnostics etc.
linear-regression model-selection outlier-detection qqplot model-diagnostics breusch-pagan cooks-distance
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Jan 9, 2022
SmoothTrend is a comprehensive time series analysis tool that utilizes Holt-Winters, Holt, and Simple Exponential Smoothing methods, as well as ARIMA/SARIMA modeling, to perform advanced trend analysis, stationarity testing, residual analysis, and forecasting.
python data statistics forecasting data-analysis kolmogorov-smirnov arima-model exponential-smoothing dickey-fuller seasonality mann-kendall shapiro-wilk arima-forecasting heteroscedasticity sarima cox-stuart holt-winters-forecasting spearman-rank-correlation breusch-pagan ljung-box-test
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Jul 29, 2024 - Python
π€ Analyze and predict marketing campaign performance with an interactive dashboard for Facebook Ads and AdWords using data exploration and machine learning techniques.
machine-learning random-forest numpy linear-regression pandas seaborn adf ridge-regression cointegration lasso-regression matplotlib-pyplot breusch-pagan
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Feb 24, 2026 - HTML
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