Python میں ٹائم سیریز فوروکاسٹنگ 🚀

The Outlines of the Video:
1) Introduction to the Time-series Forecasting
2) Time Series Forecasting for fast-moving demand, intermittent demand, hierarchical demand
3) Time Series Patterns: Forecasting of Fast Moving Demand
4) Moving Average Methods using Python
5) Exponential Smoothing Methods
i) Simple Exponential Method Using Python
ii) Holt's Methods using Python
iii) Holt-Winter's Method Using Python
6) Facebook's Prophet library for time series forecasting

#forecasting #python #facebookprophet
Code + Data file:
https://github.com/hakeemrehman/Time-Series-Forecasting-Using-Python

Master Time Series Forecasting using Python in Urdu/Hindi—a key skill for predictive analytics and supply chain planning.

✅ Learn Exponential Smoothing (Simple, Holt’s, Holt-Winters) and Moving Average methods
✅ Understand trend and seasonality detection for accurate forecasts
✅ Apply AIC and BIC for model selection
✅ Build forecasts with Pandas, Matplotlib, Statsmodels, and Facebook Prophet

Real-world examples include inventory management and avoiding stockouts in supply chains.

“How to do time series forecasting in Python in Urdu or Hindi?”
“What is Holt-Winters exponential smoothing explained in Urdu/Hindi?”
“How to use Facebook Prophet for forecasting in Python?”
“Which Python library is best for supply chain demand forecasting?”