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Amazon Sagemaker

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

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Telecom Customer Churn Prediction

Latest Version:
1.1
The solution analyses customer characteristics to predict which customers are more likely to leave the telecom company.

    Product Overview

    Customer churn refers to the loss of existing clients or customers. This solution identifies telecom customers who are more likely to close their account and leave the telecom service provider. During the training stage, the solution automatically conducts feature interaction on the training data and selects a subset of features based on feature importance. It then trains multiple models and identifies the best performing model. This model is then selected for prediction on new data.

    Key Data

    Type
    Algorithm
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • This solution can be utilized to identify customers who are more likely to leave the telecom in the future. The telecom service provider can then take appropriate steps to retain the customers. The solution can also help in identifying if a certain customer segment is more likely to leave the telecom company in the future, which can be used by it to examine why this might be happening.

    • The solution automatically conducts feature interaction on the training data and selects a subset of features based on feature importance. It then trains multiple models and identifies the best performing model. This model is then selected for prediction on new data.

    • Mphasis HyperGraf is an omni-channel customer 360 analytics solution. Need customized Machine Learning and Deep Learning solutions? Get in touch!

    Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

    Pricing Information

    Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.

    Contact us to request contract pricing for this product.


    Estimating your costs

    Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.

    Version
    Region

    Software Pricing

    Algorithm Training$10/hr

    running on ml.m5.large

    Model Realtime Inference$10.00/hr

    running on ml.m5.large

    Model Batch Transform$20.00/hr

    running on ml.m5.large

    Infrastructure Pricing

    With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
    Learn more about SageMaker pricing

    SageMaker Algorithm Training$0.115/host/hr

    running on ml.m5.large

    SageMaker Realtime Inference$0.115/host/hr

    running on ml.m5.large

    SageMaker Batch Transform$0.115/host/hr

    running on ml.m5.large

    Algorithm Training

    For algorithm training in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.
    InstanceType
    Algorithm/hr
    ml.m4.4xlarge
    $10.00
    ml.m5.4xlarge
    $10.00
    ml.m4.16xlarge
    $10.00
    ml.m5.2xlarge
    $10.00
    ml.p3.16xlarge
    $10.00
    ml.m4.2xlarge
    $10.00
    ml.c5.2xlarge
    $10.00
    ml.p3.2xlarge
    $10.00
    ml.c4.2xlarge
    $10.00
    ml.m4.10xlarge
    $10.00
    ml.c4.xlarge
    $10.00
    ml.m5.24xlarge
    $10.00
    ml.c5.xlarge
    $10.00
    ml.p2.xlarge
    $10.00
    ml.m5.12xlarge
    $10.00
    ml.p2.16xlarge
    $10.00
    ml.c4.4xlarge
    $10.00
    ml.m5.xlarge
    $10.00
    ml.c5.9xlarge
    $10.00
    ml.m4.xlarge
    $10.00
    ml.c5.4xlarge
    $10.00
    ml.p3.8xlarge
    $10.00
    ml.m5.large
    Vendor Recommended
    $10.00
    ml.c4.8xlarge
    $10.00
    ml.p2.8xlarge
    $10.00
    ml.c5.18xlarge
    $10.00

    Usage Information

    Training

    The input file should be in csv format with any no of categorical and continuous variable . Target Variable should be named - Churn

    Channel specification

    Fields marked with * are required

    training

    *
    Input modes: File
    Content types: text/csv, application/zip
    Compression types: None, Gzip

    Model input and output details

    Input

    Summary

    A csv file to be uploaded for testing the trained model. There can be any number of columns in this file. The Target variable should be named - Churn

    Input MIME type
    text/plain, application/zip
    Sample input data

    Output

    Summary

    The output csv file with contain 2 additional columns as the prediction along with the columns in the test file test.csv file . The additional columns will be Label and Score

    Output MIME type
    text/plain, application/zip
    Sample output data

    End User License Agreement

    By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

    Support Information

    Telecom Customer Churn Prediction

    For any assistance reach out to us at:

    AWS Infrastructure

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    Refund Policy

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