AVISO: Este proyecto es un ejercicio de testing. Los precios y valores no pertenecen a ninguna comercializadora. Cualquier parecido con la realidad es pura coincidencia ;)

Predicción de series temporales mediante redes neuronales.

💍 machine learning to forecast price

Example of how to scrape SNIIM and Yahoo Finance data

Covid-19 predictions by Prophet

Demand forecasting using ARIMA Model and fb_prophet.

Time series forecasting of passport demand for a government entity (non-disclosure agreement)

Modelling COVID-19 daily case rates vs. vaccination rates using machine learning on a Canadian health dataset.

This is an AI/ML stock predictor.

아주대학교 2021-2 비즈니스 애널리틱스 프로젝트

Forecasting Time Series with differents algorithms

Python package developed to simplify Prophet application to any data.

Time series is a sequence of data points taken at successive, equally-spaced points in time that can be used to predict the future. A Time Series analysis model involves using historical data to forecast the future. It looks in the dataset for features such as trends, cyclical fluctuations, seasonality, and behavioural patterns.

In this repository you can find some basic concepts about Python programming and data analysis prepared for education.

Exploring Advanced Models for Time Series-Based Weather Forecasting in Bangladesh: A Comparative Analysis of ARIMA, SARIMA, FB-Prophet, LSTM and BiLSTM Models

To analyze the COVID-19 data in India and determine the cure, death and active cases rates in all States. Plotting the active cases in states as on end date i.e. 8th May 2021

Henry Hub Natual Gas Spot Price analysis

The purpose of this study is to predict the strength and locations of earthquakes in Indonesia in the coming years and to determine the maximum earthquake strength that will occur in 2024 using Prophet Forecasting model.

Forecasting the price of Bitcoin’s during or post 2024 halving using Facebook Prophet