Search for:

Tools to crack your data science Interviews

Interview Questions & Answers
Our Interview Prep Tools
Learn More
For Companies
Log In

Stationarity in Time Series Data

Posted on May 23, 2022May 23, 2022 by MLNerds

This brief video explains what stationarity is when we model time series data and why we care about it along with an overview of different kinds of stationarity with examples.

CategoriesMachine Learning

PreviousPrevious post: What is Autocorrelation?

NextNext post: Differencing Time Series Data to Remove Trend

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Comment

Name *

Email *

Website

Notify me of follow-up comments by email.

Notify me of new posts by email.

Search for:

For more FREE Interview prep material: Subscribe with LinkedIn or Google

Tags

ACID properties activation function analytics anomaly detection atomicity bayesian modeling bi-grams bias in ML classification consistency decision boundary deep learning durability embeddings gender bias gradient descent hmm inner join join language model left join logistic regression maximum likelihood estimate metrics missing data MLE model complexity Natural Language Processing NLP optimization outer join outlier detection overfitting recall right join search sigmoid smoothing speaker segmentation speech sql tanh text generation topic modeling viterbi

Sign-In With Your Social ID

We hope you enjoy going through our content as much as we enjoy making it !