Built a few forecasting models to determine the demand for a particular product.

My thesis proyect about NN to forecast time series

Forecasting model construction for custumer volume prediccion per each hour in two stores

Predicting amoebiasis cases in Southern Taiwan using machine learning methods and transfer entropy-based feature engineering

Detect U.S. housing market bubbles using macroeconomic signals. Forecast HPI, score speculative risk, and visualize insights using a fully modular, cloud-native GCP pipeline.

Forest the unit sales of Walmart retail goods for the next 28 days

Machine Learning Code Gladiators 2018 - Credit Suisse ML

Solutions to real world machine learning problems

Source code for the coastal inundation forecast demonstration project for Fiji

The goal of this project is to investigate whether intra-day data can improve the performance of LSTM models in daily time series forecasting tasks.

The project utilizes a range of tools including Excel, DAX, Power Query, and advanced data modeling techniques to extract and visualize insights. Key deliverables include an interactive dashboard for intuitive data exploration and comprehensive analysis using advanced Excel functions.

Forecasting Fixed Rate Mortgage Average in The United States

Short-Term Wind Power Forecasting utilizing a Transformer model and a seasonally aware custom cosine annealing scheduler.

Forecast for Bitcoin till April 2026 based on linear regression and std devs

Machine Learning: Time series prediction and strategies on stock markets

Tiene sentido que la demanda de bicis en CDMX tenga una estacionalidad por horas del día y días de la semana. Pero ¿es posible predecir la demanda futura? ¡Claro que sí! 🚴🏾

🌧️ Forecast the future to prepare for rainy days

This repo consist of predicting Air quality values like relative humidity, absolute humidity or any other features I have used forecasting method to analyze and predict

The purpose of this analysis is to observe the population trend over the years in the US and forecast the population for the next 5 years.