GitHub

Store Sales - Time Series Forecasting

This end-to-end project aims to forecast retail store sales based on historical data, helping businesses optimize inventory management, reduce waste, and improve revenue planning. It includes data ...
GitHub

Forecasting with time series imaging

This page introduces how to use our code for image-based time series forecasting. The code is divided 2 parts: feature extraction with sift or pretrained CNN model combination based on the extracted ...
Frontiers

Forecasting the fracture: a cost-driven machine learning framework for optimal bridge maintenance prioritization

Aging civil infrastructure presents a critical economic and public safety challenge, with maintenance backlogs costing hundreds of billions of dollars. This study moves beyond simple condition ...
VentureBeat

Fundamental emerges from stealth with first major foundation model trained for tabular data

The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models (LLMs) have mastered the nuances of human prose and image generators have conquered the digital ...
VentureBeat

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models (LLMs) have mastered the nuances of human prose and image generators have conquered the digital ...
Analytics Insight

Best Python Libraries for Machine Learning in 2025

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks. New libraries like JAX, Polars, and LangChain offer speed, scalability, and real-time ML ...
Scientific Research Publishing

Extra Trees Model for Heart Disease Prediction ()

1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...