Anomaly Detection in Time Series

[alo7lika]

Pull Request for DL-Simplified 💡

Issue Title: Anomaly Detection in Time Series

• Info about the related issue (Aim of the project): To develop an effective model for detecting anomalies in time series data, leveraging LSTM networks for improved accuracy and reliability.
• Name: Alolika Bhowmik
• GitHub ID: alolikabhowmik
• Email ID: alolikabhowmik72@gmail.com
• Identify yourself: GSSoC Contributor

Closes: #967

Describe the add-ons or changes you've made 📃

I have added a model for anomaly detection in time series using LSTM networks. The model uses a synthetic dataset to identify and classify anomalies effectively, and I have also implemented additional models like Facebook Prophet and Isolation Forest for comparison.

Type of change ☑️

What sort of change have you made:

• [x] New feature (non-breaking change which adds functionality)
• [ ] This change requires a documentation update

How Has This Been Tested? ⚙️

The models have been tested using accuracy scores and classification metrics on the synthetic dataset. I also validated results through exploratory data analysis (EDA) and cross-checked predictions for anomaly classification.

Checklist: ☑️

• [x] My code follows the guidelines of this project.
• [x] I have performed a self-review of my own code.
• [x] I have commented my code, particularly wherever it was hard to understand.
• [x] I have made corresponding changes to the documentation.
• [x] My changes generate no new warnings.
• [x] I have added things that prove my fix is effective or that my feature works.
• [ ] Any dependent changes have been merged and published in downstream modules.

[github-actions[bot]]

Our team will soon review your PR. Thanks @alo7lika :)

[alo7lika]

@abhisheks008 ASSIGN THE LABEL " GSSOC-EXT" AND LEVEL ON THE PR AS WELL AS ON THE ISSUE PAGE AND REVIEW IT

[alo7lika]

@abhisheks008 ASSIGN THE LABEL " GSSOC-EXT" AND LEVEL ON THE PR AS WELL AS ON THE ISSUE PAGE AND REVIEW IT

Also assign the task to me , you haven't assigned it