Data Collection: Gather time series or cross-sectional data from reliable sources. Data Preprocessing: Clean and normalise data to handle missing values, outliers, and ensure compatibility with anomaly detection algorithms. Model Development: Implement at least two anomaly detection models to identify irregularities in the chosen dataset
-
Notifications
You must be signed in to change notification settings - Fork 0
Data Collection: Gather time series or cross-sectional data from reliable sources. Data Preprocessing: Clean and normalise data to handle missing values, outliers, and ensure compatibility with anomaly detection algorithms. Model Development: Implement at least two anomaly detection models to identify irregularities in the chosen dataset
MuhammadAhmad-Flutter-Developer/Anomaly-Detection-Capstone-Project-Proposal
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Data Collection: Gather time series or cross-sectional data from reliable sources. Data Preprocessing: Clean and normalise data to handle missing values, outliers, and ensure compatibility with anomaly detection algorithms. Model Development: Implement at least two anomaly detection models to identify irregularities in the chosen dataset
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published