0
votes
2answers
211 views

Predicting time series with NNs: should the data set be shuffled?

Suppose I'm trying to predict time series with a neural network. The data set is created from a single column of temporal data, where the inputs of each pattern are ...
4
votes
5answers
384 views

How to handle online time series forecast?

I have been dealing with the following problem. I have kind of a real time system and every time frame I read its current value, creating a time series (such as 1, 12, 2, 3, 5, 9, 1, ...). I'd like to ...
1
vote
1answer
125 views

Lemonade consumption forecast

Some guys, decided to make some money, by selling lemonade in different public places. Each guy has a fix spot on which she sell the lemonade. In every morning, they go to a lemonade maker warehouse ...
4
votes
6answers
738 views

What algorithm could be used to predict consumables usage given data from past purchases?

Thinking about a supposedly simple but interesting problem, I'd like to write some code to forecast consumable I'll need in the near future given the full history of my previous purchases. I'm sure ...
7
votes
2answers
390 views

Machine learning techniques for time series estimation - forecasting price

Can anyone recommend any machine learning techniques for time series estimation? I have a series of times $t_{1}...t_{n}$, each having a set of associated features $f_{1}...f_{m}$, and a value $x$. ...
9
votes
1answer
395 views

Documented/reproducible examples of successful real-world applications of econometric methods?

This question might sound very broad, but here is what I am looking for. I know there are many excellent books about econometric methods, and many excellent expository articles about econometric ...
1
vote
2answers
155 views

How to predict Ozone concentration in few years time?

my friend is a chemist and his problem is to predict the level of ozone concentration in a single site. We have the data for the last 12 years. We want to predict the concentration for the coming ...