In this tutorial video from Analytics Voyage, we delve into the captivating world of time series data modelling, exploring the incredible potential of the Simple Moving Average technique. 📈
Discover the essence of time series data, its relevance, and the secrets it holds for accurate forecasting in various fields. From identifying stationary patterns to decoding trends, seasonality, and cyclical behaviour, we unveil the core components of time series data modelling. 📊
Link to the database: bit.ly/47atfq0
Join us as we guide you through the Simple Moving Average method, a powerful tool for smoothing data and predicting future trends. Learn the art of choosing the right degree for your moving average, calculating predictions, and optimizing your model for accuracy. 🔍
But that's not all! We take you beyond the basics and delve into the world of Mean Squared Error, providing a deeper understanding of model accuracy assessment. 📉
Compare different Simple Moving Average models, and explore the possibilities they offer in forecasting. Get ready to elevate your data analysis game! 💡
Don't miss out on this knowledge-packed journey. Give this video a thumbs up, hit the subscribe button, and share your thoughts in the comments below. 📚✨ Thank you for watching! 🎉 #DataAnalysis #TimeSeries #Forecasting #AnalyticsVoyage
Негізгі бет Time Series Data Modeling: Simple Moving Average and Mean Squared Error (MSE)
Пікірлер: 16