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Ability to predict the future can be really valuable. But since we don’t have Doc and his DeLorean time machine from Back to the Future, we have to rely on other means to know the future. Using time-series prediction can you find the future of these synthetic stock prices. Given the prices of the stock for the past, predict its value in the future.
Understand with code! Here is
getting started code for you.
The dataset contains stock prices from date
2010-03-25 in train.csv and
2013-06-21 in val set leaving the weekend i.e, Saturday and Sunday. One needs to predict the stock prices from
2021-01-13 of the weekdays. The exacts are present in sample_submission.csv.
Following files are available in the
6345samples) This training csv file contains the date and the values.
817samples) This validation csv file contains the date and the values.
1905samples) File that will be used for actual evaluation for the leaderboard score but does not have the values.
- Prepare a CSV containing the date in the same order with header as
sample_submisison.csvand its predicted value in column with header as
- Sample submission format available at
sample_submission.csvin the resorces section.
Make your first submission here 🚀 !!
🖊 Evaluation Criteria
During evaluation Mean Squared Error will be used to test the efficiency of the model where,
- 💪 Challenge Page: https://www.aicrowd.com/challenges/timser
- 🗣️ Discussion Forum: https://www.aicrowd.com/challenges/timser/discussion
- 🏆 Leaderboard: https://www.aicrowd.com/challenges/timser/leaderboards