Day 9 – Time Series Forecasting in CRM Analytics

Day 9 – Time Series Forecasting in CRM Analytics

Time series forecasting lets you make decisions today based on forecasts about tomorrow. Use the Time Series Forecasting transformation in a Data Prep recipe to run forecasts based on historical data and seasonality. For example, use forecasting to estimate quarterly sales. This feature, which is now generally available, includes some changes since the pilot release. You can now select the seasonality, auto detect the best model, and add a confidence interval.

In this video, you will learn what a powerful tool CRM analytics is. You will learn smart transformation and apply time series forecasting. We will look at a dataset from Kaggle and predict future value.

Dataset:
https://www.kaggle.com/datasets/odins0n/monthly-gold-prices

Sentiment Analysis: https://www.youtube.com/watch?v=-uukclAdlyM&t=21s&ab_channel=thenadcoder

Linkedin: https://www.linkedin.com/in/sujaynadk…

Instagram: https://www.instagram.com/thenadcoder/

If you want to contribute, you can support my channel here: https://koji.to/k/75gE

Data Scienceカテゴリの最新記事