Lightning ⚡️ fast forecasting with statistical and econometric models.

NeuralProphet: A simple forecasting package

Projetos de modelagem e previsão de séries temporal em linguagem Python e linguagem R. Usarei vários modelos de bibliotecas e pacotes usados para tratamento, modelagem e previsão de séries temporais. Falarei um pouco sobre cada uma delas, gerarei a validação e as previsões e, por fim, realizarei a avaliação com a métricas pertinentes.

Elixir library for time series forecasting, inspired by Facebook's Prophet and NeuralProphet

Forecasting sales and economic demand for businesses with a time series approach using NeuralProphet

Time Series Forecasting with Neural Prophet

This Trained model will predict the temperature of Melbourne (Australia) from 2016 onwards. I have used Neural Prophet module to train the model.

Creating Time Series Model for Air Flight Dataset

Bitcoin price prediction using LSTM, RNN, Neural prophet

This is a time series forecast project I did with Jennifer Rodriguez-Trujillo during Summer, 2022 to benchmark Facebook AI's NeuralProphet.

Code by @drasbaek and @MinaAlmasi for the exam in "Data Science, Prediction, and Forecasting" (F2024) at the Cognitive Science MSc.

Predicting sales behavior through time series modeling with some of the libraries available in Python

Evapotranspiration forecasting using FBProphet and NeuralProphet.

Streamlit test project for time-series-forecasting library NeuralProphet

About Building a neural weather prophet forecasting model to predict weather trends for Australia on a Kaggle dataset

Weather Forecasting : ob-havo sharoitlarini bashorat qilish uchun model

A project with the aim of predicting future PETCT scanning referrals based on time-series analysis of past referrals.

running prediction models such as arima, fbprophet and neuralprophet on cpu-load datatset of server to predict trend of cpu utilisation.

BTC trading volume seasonality