https://archives.christuniversity.in/files/original/8363fdbc1af9f0ddf41f7e335624afc5.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Stock market prediction using artificial neural networks in python / Subject The topic of the resource Stock Market Description An account of the resource Patent Number: 202231052415, Applicant: Dr. Rashel Sarkar. When the issue of forecasting time series is mentioned, the reader, listener, or observer instantly considers forecasting stock prices. This should help individuals determine when to sell and when to purchase more. On occasion, we encounter resources that explain how this is possible. Throughout Deep Learning with Python, Chollet cautions against using time series prediction algorithms to estimate market values. You should not attempt to predict how the stock market will behave in the future based on past performance. Due to the design of the martingale system, the present price of a share of stock is the most accurate indicator of its future price (in terms of the error associated with estimation). Creator An entity primarily responsible for making the resource Ganguly, Deeksha Gupta. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1uBRTrq5NnwXBNu9l6AdotIvT7dh4ujOY/view" target="_blank" title="Stock market prediction using artificial neural networks in python /" rel="noreferrer noopener">https://drive.google.com/file/d/1uBRTrq5NnwXBNu9l6AdotIvT7dh4ujOY/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-22 Language A language of the resource English Type The nature or genre of the resource Patent