RSS Amplifier

Blog

Forecasting & Data Analytics Corner: Modelling using AI & ML

This substack provides guidance for advanced students and analytics consultants through practical, example-driven in-depth modelling & scenario-based studies. It shares step-by-step guide with code that simplifies complex concepts and shows how they work.

nilimesh.substack.comSource feed ↗10 posts

Overdue Last read · last published · next check
Last read 4 days ago, longer than this feed's 1 day schedule.

Written by

Latest posts

Mortality Risk Stratification in Aging Populations

A Multimodal Logistic Regression Framework Integrating Census and Health Survey Data Using R

Mortality Risk Stratification in Aging Populations

A Multimodal Logistic Regression Framework Integrating Census and Health Survey Data Using Python

Beyond Binary Borders: Applying Multimodal Logistic Regression to Predict Urban-Rural Migration Patterns Across Demographic Cohorts Using R

The article explains how multimodal multinomial logistic regression can be used in R to model urban-rural migration beyond a simple binary framework.

Beyond Binary Borders: Applying Multimodal Logistic Regression to Predict Urban-Rural Migration Patterns Across Demographic Cohorts Using Python

The article explains how multimodal multinomial logistic regression can be used to predict urban-rural migration patterns across different demographic cohorts.

Geospatial Classification of Food Desert Emergence in Shrinking Cities

Multimodal Logistic Regression Across Retail Access, Transit Connectivity, and Neighbourhood Deprivation Layers Using R

Geospatial Classification of Food Desert Emergence in Shrinking Cities

A Multimodal Logistic Regression Framework Across Retail Access, Transit Connectivity, and Neighbourhood Deprivation Layers Using Python

Using R Mapping Urban Sprawl Risk Beyond Administrative Boundaries

A Multimodal Logistic Regression Approach Fusing Night-Time Light Data, Road Network Density, and Population Flux Indicators Using R

Mapping Urban Sprawl Risk Beyond Administrative Boundaries

A Multimodal Logistic Regression Approach Fusing Night-Time Light Data, Road Network Density, and Population Flux Indicators Using Python

Spatial Heterogeneity in Land Use Transition Probabilities

A Multimodal Logistic Regression Framework Integrating Cadastral Records, Sentinel-2 Imagery, and Socioeconomic Gradients Using R

Spatial Heterogeneity in Land Use Transition Probabilities

A Multimodal Logistic Regression Framework Integrating Cadastral Records, Sentinel-2 Imagery, and Socioeconomic Gradients Using Python