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We walk you through the following steps to set up our spam detector model: Download the sample dataset from the GitHub repo. Load the data in an Amazon SageMaker Studio notebook. Prepare the data for the model. Download the dataset Download the email_dataset.csv from GitHub and upload the file to the S3 bucket.
Jump Right To The Downloads Section Understanding Anomaly Detection: Concepts, Types, and Algorithms What Is Anomaly Detection? Anomaly detection ( Figure 2 ) is a critical technique in data analysis used to identify data points, events, or observations that deviate significantly from the norm. unusual network traffic patterns).
Key Takeaways The UCI Machine Learning Repository supports Machine Learning research with diverse datasets. Datasets are categorised by learning type and domain for easy access. Users can download datasets in formats like CSV and ARFF. What is the UCI Machine Learning Repository? CSV, ARFF) to begin the download.
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