Compute a moving root mean squared error (RMSE) incrementally.
Construção de um modelo de machine learning para prever com precisão a demanda de estoque com base nos dados históricos de venda do grupo Bimbo.
Business Case : The Waist Circumference - Adipose Tissue
Diagnostic tools for regression modeling. Julia-equivalent for diagnoser (https://github.com/robertschnitman/diagnoser).
Medical image enhancement strategy based on morphologically processing of residuals using a special kernel
Performed linear regression and residuals analysis on college tuition fees and admission rate in R.
Production‑grade Python package (`rsvd_cert/`) with randomized SVD (subspace + block‑Krylov)
Compute a moving residual sum of squares (RSS) incrementally.
Compute the residual sum of squares (RSS) incrementally.
Create Datasets with Hidden Images or Messages in Residual Plots
Laboratory works on Numerical Methods course
Simple Linear Regression
Multi_Linear_Regression_on_Cars_data_to_predict_MPG
A real estate company that has a dataset containing the prices of properties in the Delhi region. It wishes to use the data to optimise the sale prices of the properties based on important factors such as area, bedrooms, parking, etc
Tutorial - Implementing a Linear Regression from Scratch - MSE & Gradient Descent - 2025
Linear regression is also a type of machine-learning algorithm more specifically a supervised machine-learning algorithm that learns from the labeled datasets and maps the data points to the most optimized linear functions.
Prediction of Delivery Time of newspapers using Sorting Time
Linear Regression to identify the important physicochemical properties of the substrate that influence the aerial biomass production in the Cape Fear Estuary.
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