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  1. AmazonFoodReview AmazonFoodReview Public

    This ML binary classification model uses text handling techniques like stemming, lemmatisation, and stop word removal to classify reviews as positive or negative.

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  2. EmotionDetection EmotionDetection Public

    The dataset comprises of grayscale images of faces with a resolution of 48x48 pixels. The images have been aligned to ensure that the face is approximately centred. The objective is to use a deep l…

    Jupyter Notebook 1

  3. DigitClassification DigitClassification Public

    The Convolutional Neural Network is utilized in a Deep Learning model to accurately predict numbers in images. This model is designed to efficiently analyze and process visual data. Through the use…

    Jupyter Notebook 1

  4. AdventureWorksAnalysis AdventureWorksAnalysis Public

    Transform raw data into professional-quality reports and dashboards to track KPIs, compare regional performance, analyze product-level trends, and identify high-value customers.

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  5. Electricity-Consumption Electricity-Consumption Public

    This regression model uses Global_active_power and Global_reactive_power to predict Consumed_active_energy.

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  6. Bank-Customer Bank-Customer Public

    The machine learning (ML) classification model takes into account previous customer records, age, and tenure in order to predict the status of their accounts. By considering these key factors, the …

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