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Basic to Advance | Stock Price Forecasting methods | How to build Model that works in all Scenarios

In this video, we explore different methods for forecasting stock prices, using Apple stock as a case study. We dive into popular forecasting techniques, including simple, recursive, direct-recursive hybrid, and rolling window approaches. These methods can be applied with any forecasting model, but for clarity, we'll demonstrate them using Facebook's Prophet model.

Learn how to apply these techniques to enhance the accuracy of your stock price forecasts. By the end, you'll see how we forecast Apple stock prices using base forecasting techniques and uncover valuable insights for future trends.

Time Series Data & Basic Modeling techniques-
https://medium.com/@datagyani/how-to-analyze-time-series-data-dbb1567ffc0d

GitHUB Link
https://github.com/Ashu2360/datagyani/blob/0a1bc07d574c214f42384b43cdb1b8a9cb0dbe24/stock_price_forecast_prophet.ipynb
Kaggle Link
https://www.kaggle.com/code/allaboutdatascience/different-forecasting-methods-on-stock-price-data

Видео Basic to Advance | Stock Price Forecasting methods | How to build Model that works in all Scenarios канала Data Gyani
Яндекс.Метрика

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