Questions tagged [Forecasting] (19)

Hi. There is a challenge in which you must predict the required number of staff on shift (daily, hourly), relatively speaking for 1 month (this task is not specified, it may be two weeks). There is one channel handling calls to the hotline. The average number of calls per day - 567, the treatment received unevenly during...

Good day! Waiting for your help. We are talking about the forecast of this indicator as the service level for KTS incoming line. The data rate depends on number of calls KC loses in the first 30 seconds and what number of calls are queued more than 30 seconds. For example, at 14:00 SL 80%. 1. How to determine the number of ...

Google nothing to give but could not. (or I just don't know how to ask him a question). So. Let's say I have an array of integers from 0 to 1,000,000. I need, knowing how to behave in certain situations (for example, the number increased from 134957 to 450931, then decreased to 111111 etc), to know what is the next number, ...

Hello. Two independent subtasks. The data is in. You need to: 1) "Smooth" series.2) to Predict All with the help of nuclear regression. The smoothing produced by the formula Nadaraya-Watson, a Gaussian kernel. Everything works. Predict the same formula -- trouble. All values obtained are equal (in red): What am I doing wron...

Hello! As the thesis decided to create a neural network, which (theoretically) could predict the dollar on the basis of news articles. I understand that it is impossible in principle, and the result will be close to randomname, but it's a degree, so the result is not so important :) I Want to ask for advice. I must say tha...

Colleagues hi Please tell me the correct line of thought for solving the problem: You have a time series of values which defines some kind of schedule. Need on the basis of these values to find the closest function that describes this graph. Graphics (value) is constantly updated, so you need to automate the search for such...

All kind time of day. There was a problem if anyone can help I would be very grateful. The problem is that I can not understand what kind of neural network to take in order to predict the failure of some objects depending on any factors... particularly there is a rail (x), which fails... There are several characteristics : ...

Colleagues, good afternoon. It is now fashionable to use the products(SOFTWARE) and business processes interesting stuff: ML, neural networks, genetic algorithms, and where without the blockchain))). Unfortunately, I have not found information on the application of catastrophe theory in forecasting the critical points or i...

Welcome! Can you please tell me the name of the class systems and the existing implementation for computer-aided graphic design of the tree of the outcomes of events? For example, there are different mutually exclusive outcomes of the event. Each outcome is its cause and effect. As time can appear to change the source data,...

There is a company suppose Aeroflot, and there are a number of social networks, such as VK, FB, IG, and there are members, but the community was carried out very professionally and because there is no clear data on growth because they jump at the bottom, so the customer wants to know how many podpisano we will have by the e...