Questions tagged [time-series]

Question 1

I am working on a major project titled Utilizing Satellite Data and Deep Learning to Monitor Agricultural Vulnerabilities to Climate Change. My goal is to develop a system to monitor agricultural ...

Question 2

I am using neuralprophet model in time series data having 2 columns(ds and y). ds is timestamp(10 minutes of difference between consecutive rows) and y is numerical column. As I am using ...

Question 3

I am working on a project that requires machine learning analysis, but I'm new to the field and still learning about different models. I just wanted to ask the community about the best model or ...

Question 4

This is quite a detailed problem I think, so let me provide some context first. I have a quite complex electrical circuit that I am regularly monitoring to make sure it is functioning properly. To do ...

Question 5

I am trying to create some kind of regression model. Target is continuous and can both be negative and positive. However, the issue is that there is a region/band that I know is roughly -50 to 50, ...

Question 6

So I was working on a multivariate time-series data, is it possible that I can impute or interpolate the missing data using transformer or pre-trained, fine-tuned LLMs? Some insights about it please. ...

Question 7

In Newey & McFadden (1994), Large Sample Estimation and Hypothesis Testing (Handbook of Econometrics, Ch. 36), they extend ULLN results from i.i.d. data to stationary ergodic sequences, e.g.: “...

Question 8

Years ago, I read in the paper that they proposed a K-means-based approach to impute missing values over energy time data. At the point in time, since I did not have access to that data, I tried to ...

Question 9

Beginner ML practitioner here. I'm trying to do some time series forecasting on a fairly high resolution dataset that stretches over a long period of time. The values vary pretty widely over time: to ...

Question 10

I'm working with a dataset consisting of multiple CSV files, each representing time series data of accelerations (x, y, z) captured during vibration events. For each event, a sensor records data for ...

Question 11

I am not sure if this is the right place to ask, but I have two fecundity datasets per year. One for males, the other for females: To give an excerpt of the data: Gender year number born M 1990 1 M ...

Question 12

I followed from this question. I have one folder path (C:\Users\alokj\OneDrive\Desktop\jupyter_proj\second_project_rotation_sun\Before_hour) which contains many ordered subfolders(time series data) ...

Question 13

I'm on working on classification problem My model architecture looks: ...

Question 14

The following two figures show raw data and filtered data recorded in a measurement. I have used SciPy's Savizky-Golay filter with window_length = 6 and polyorder of 3 to obtain the second plot. One ...

Question 15

I'm rendering charts for timeseries data composed by millions of records. The charts need to be interactive and have lots of feature support so I need to downsample them. The problem I've encountered ...

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Questions tagged [time-series]

Guide me with my major project titled Satellite-Based Agricultural Vulnerability Monitoring

Finding optimal n_lags in neuralprophet model

Combining (interrupted) time-series analysis and machine learning to predict how an intervention will perform

How to detect issues with time series data from multiple related measuring devices?

How do I train a regression model on time series data containing a band of zeros?

Time series imputation using transformers and LLMs

Are lag vectors in time series MLE just measurable functions in Newey & McFadden’s ergodic ULLN?

What is the best practice to impute missing data with patterns over the time? (potential of K-means clustering for imputation of missing values!?)

LSTM feature scaling with windowing?

Unsupervised anomaly vibration detection for time series

Changes over time is significant

Training by 72 hours to predict next 24 hours by LSTM

statefull or stateless architecture?

How to remove spurious data points recorded in a measurement? How to improve the result obtained using a Savitzky-Golay filter?

How do I downsample huge datasets with sparse asymptotes?

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