Lightning ⚡️ fast forecasting with statistical and econometric models.

NeuralProphet: A simple forecasting package

Repositório do TCC de 2023 de Ciência de Dados e Inteligência Artificial - Alunos: Beatriz Rodovalho Gil e Lucas Gregorio Silva

The objective of this project is to write code to visualize the impact and analyze the trend rate of infection and recovery as well as make predictions about the number of cases expected a week in the future based on the current trends based on given data about COVID-19 patients.

If you can measure it, consider it predicted

Streamlit app to train, evaluate and optimize a Prophet forecasting model.

In this project, we delve into the historical trends of the United States military budget and utilize advanced machine learning techniques to forecast its trajectory for the next decade.

Walmart, a multinational retail corporation, faces challenges in managing its inventory effectively, leading to issues aligning product supply with varying consumer demand.

Analyzing the Unemployment Rate Time Series is vital for economic insights. Techniques like ARIMA capture linear patterns, LSTM handles complex relationships, and Facebook Prophet excels in seasonal forecasting. These methods empower decision-makers to anticipate trends, formulate effective policies, and navigate economic challenges with agility.

El SOUQ, a powerful web-app that accurately predicts stock prices for the next 4 years based on the social media effects

Arima, Sarima, LSTM, Prophet, DeepAR, Kats, Granger-causality, Autots

A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

Code library for common machine learning algorithms

Do Stocks / Markets price prediction on the time series prediction model

Built machine learning algorithms (FB prophet & Support Vector Machine) to best predict the trend of chosen Crytpo-currency.

Time Series Analysis and Forecasting in Python

Crude oil analysis on SQL cleaned data

This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.

A Comprehensive Time Series Analysis for Dynamic Sales Forecasting

Repository for Data Analysis and Machine Learning