Deep Learning with Yacine on MSN

Gradient descent from scratch in Python – step by step tutorial

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
Deep Learning with Yacine on MSN

Adadelta optimizer explained – Python tutorial for beginners & pros

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
GitHub

Inflation Forecasting with ARIMA and LSTM

A full-stack inflation-forecasting toolkit that pairs classical ARIMA diagnostics in Stata with an LSTM pipeline in Python. The project walks from raw CPI data ingestion and exploratory visualisation ...
IEEE

Revisiting Long- and Short-Term Preference Learning for Next POI Recommendation With Hierarchical LSTM

Abstract: Point-of-interest (POI) recommendation has drawn much attention with the widespread popularity of location-based social networks (LBSNs). Previous works define long- and short-term ...
IEEE

Enhancing Short-Term Power Load Forecasting With a TimesNet-Crossformer-LSTM Approach

Abstract: Efficient and accurate short-term electric load forecasting plays a significant role in energy conservation and reducing carbon emissions. Recurrent neural networks (RNN) and their derived ...
GitHub

Python Learning Roadmap in 30 Days

Welcome to the Python Learning Roadmap in 30 Days! This project is designed to guide you through a structured 30-day journey to learn the Python programming language from scratch and master its ...