This repository contains introductory notebooks for forecasting
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Updated
Nov 17, 2022 - Jupyter Notebook
This repository contains introductory notebooks for forecasting
Forecast the CocaCola prices data set. Prepare a document for each model explaining how many dummy variables you have created and RMSE value for each model. Finally which model you will use for Forecasting.
As séries temporais são usadas para analisar tendências, padrões e sazonalidades nos dados ao longo do tempo, bem como para prever eventos futuros com base nos dados históricos. Para a análise de série temporal deste DataFrame utilizei a técnica de Suavização Exponencial com o modelo SimpleExpSmoothing.
Data Science: Machine Learning analysis of B2B website Visits and Purchase Patterns
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