Sales Forecasting using Time Series, A real-life scenario, The TSA Model
Yes, you read that correctly. This video covers a real-life scenario using the TSA Model. We used several libraries such as pandas, matplotlib, numpy, and seaborn. In addition, we performed data checks, ensured the dataset was stationary, plotted the ACF and the PACF, and finally prepared two models to forecast sales. It took me a long time to record and edit, and your support means a lot to me. Feel free to leave your questions in the comment section below, and I will be glad to respond to them. It would mean a lot if you could like, share, and subscribe! Thank you so much for giving me your time. I'll see you in my next video. Until then, bye-bye!