How to predict the future value in LSTM?
Predicting the future is easy… To predict tomorrow’s value, feed into the model the past n(look_back) days’ values and we get tomorrow’s value as output. To get the day after tomorrow’s value, feed-in past n-1 days’ values along with tomorrow’s value and the model output day after tomorrow’s value.
What is sequential data in deep learning?
Sequence models are the machine learning models that input or output sequences of data. Sequential data includes text streams, audio clips, video clips, time-series data and etc. Recurrent Neural Networks (RNNs) is a popular algorithm used in sequence models. Here both the input and output are sequences of data.
How to predict the next series of numbers?
You could use LSTMs with a sequence to sequence model perhaps (using e.g. Keras). For example: x lines are input, the next line is output. Just an idea, your question is not that clear. Thanks for contributing an answer to Data Science Stack Exchange!
What kind of algorithms are good to predict next numbers?
It depends on many factors like the amount and quality of your data, the architecture, the complexity of the problem and hyper parameters whether it will be useful to you. machinelearningmastery.com has many examples of LSTM have a look at it! Maybe start with this.
Can you use Excel to predict future sales?
If your data is based on actual sales for a business, it’s probably not a good idea to let a stand alone program like Excel do any predicting for you. Excel can’t read market indicators. If you just want a mathematical formula that works, you can use just about anything.
How can I predict new values in Excel?
The known values are existing x-values and y-values, and the new value is predicted by using linear regression. You can use this function to predict future sales, inventory requirements, and consumer trends.