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Data Science Stack Exchange

Questions tagged [time]

29 questions
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2 answers

Which is meant by +/-9.2e18 years in timespan?

I was able to convert the 9.2e18 AD to a date, but I am confused about the exact date. Which date is 9.2e18 AD and and 9.2e18 BC? Time span (absolute) - [9.2e18 BC, 9.2e18 AD] i.e +/- 9.2e18 years NumPy documentation, section "Datetime Units"…
Rinshan Kolayil
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1 answer

LSTM for time series forcasting

I manipulate the time series using the different structures of the neural networks in order to make a prediction, and I wonder if there is a way to choose the parameters of the networks intelligently? from the characteristics of the signal, namely…
El abassi Rida
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1 answer

Survival analysis to estimate kanban tasks completion times

I am working on a problem to estimate task completion time in kanban (project management tool). While doing EDA, I looked at tasks that are either done or cancelled. In this case, I defined the completion time as the time taken from task creation to…
Sharath
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1 answer

In survival analysis, which is the correct way to introduce a variable which changes the survival rate but occurs at different times?

I am making a survival analysis with a cox regression with proportional hazards, we want to analyze wheter the introduction of a phenomenon influences the time until the death of an individual. A similar example would be: We have patients which…
Juan Esteban de la Calle
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Modeling count data with time-dependent rate

For processes of discrete events occurring in continuous time with time-independent rate, we can use count models like Poisson or Negative Binomial. For discrete events that can occur once per sample in continuous time, with a time-dependent rate,…
Bridgeburners
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1 answer

Date and time extraction from Excel file in Python or Pandas

I have an Excel file with a column that contain both date and time in a single cells as follows: 2020-07-10T13:32:01+00:00 I'm wondering how to extract this cell, split date and time (that are separated by a "T") and write them into 2 new columns…
Steven
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1 answer

Appropriate Machine Learning algorithm for modeling clustered time-varying binary outcome

I'll just dive right in. I have a decent-size (100K observations) dataset of time-varying continuous and categorical predictors. Categorical predictors, actually, usually do not change, however, continuous one change every day. Another level of…
Georgiy
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1 answer

Get the average time between first and 2nd call (postgresql)

I have the following data in table where I want to calculate the average time between 1st and 2nd call. I know how to get the average, but I have a though time to figure out how to subtract the 2nd from 1st attempt since it is in the same column and…
ColRow
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Help improving my "read_excel" execution time in python. My code reads slowly

My first question here so please bare with me. I'm trying to feed my neural network with training data read in from an excel file. It works perfectly fine when i have less than 50 rows in the sheet. But when i try with the real excel file containing…
Casper
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Standard(s) for data representing measurement times with their interval of validity?

Is there a standard for representing the time interval of a measurement? Any actual measurement is made at a point in time with, perhaps, an interval over which it is considered valid. For example, a census datum on a State's population for the…
James Bowery
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2 answers

Classification with feature not available at time of model creation

I have problem statement to predict the probability of solving a task depending on multiple features for e.g. when the task was created, the time needed to work on a task, etc Please find a dummy snippet attached task_id date_time_open …
EricA
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1 answer

'list' object has no attribute 'values' when we are using append in python

Here I have a dataset with three inputs. Here I generated y value using append. After the append I got the output like this: y.append(rec.iloc[0]['y']) Then I tried to develop neural network model with these values. Before that I tried to scale…
bala
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Linear correlation and XGboost regression for time series

I am working with sales time-series data, I have a history of 9 years of monthly data. I am trying to forecast sales for the next 12 months. I am using XGboost regression to build multivariate time series, forecasting model. The problem I am facing…
SYN
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Detect data (web textual content) age

This is a broad question and maybe does not have an answer but I will try. I have been thinking of some techniques to detect the date of publication of public data in the wild of the internet. Without raising any defamation concerns, admitting data…
bacloud14
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predict next purchase time of an item

I have a bunch of timestamps (purchase date from history), that looks like: [1658753101, 1658760061, 1658824861, 1658846461, 1658853961, etc] What I want is to based on that list predict next item sale time. Also I think the closer we are to the…
Dr1m
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