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Fixed: grammar on video games description
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README.md

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@@ -13,7 +13,7 @@ These examples provide a gentle introduction to machine learning concepts as the
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- [Time-series Forecasting](introduction_to_applying_machine_learning/linear_time_series_forecast) generates a forecast for topline product demand using Amazon SageMaker's Linear Learner algorithm.
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- [Cancer Prediction](introduction_to_applying_machine_learning/breast_cancer_prediction) predicts Breast Cancer based on features derived from images, using SageMaker's Linear Learner.
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- [Ensembling](introduction_to_applying_machine_learning/ensemble_modeling) predicts income using two Amazon SageMaker models to show the advantages in ensembling.
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- [Video Game Sales](introduction_to_applying_machine_learning/video_game_sales) develops a binary prediction model for the success video games based on review scores.
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- [Video Game Sales](introduction_to_applying_machine_learning/video_game_sales) develops a binary prediction model for the success of video games based on review scores.
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### Introduction to Amazon Algorithms
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introduction_to_applying_machine_learning/README.md

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- [Time-series Forecasting](linear_time_series_forecast) generates a forecast for topline product demand using Amazon SageMaker's Linear Learner algorithm.
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- [Cancer Prediction](breast_cancer_prediction) predicts Breast Cancer based on features derived from images, using SageMaker's Linear Learner.
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- [Ensembling](ensemble_modeling) predicts income using two Amazon SageMaker models to show the advantages in ensembling.
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- [Video Game Sales](video_game_sales) develops a binary prediction model for the success video games based on review scores.
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- [Video Game Sales](video_game_sales) develops a binary prediction model for the success of video games based on review scores.

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