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  1. Optimizing-an-ML-Pipeline-in-Azure Optimizing-an-ML-Pipeline-in-Azure Public

    build and optimize an Azure ML pipeline using the Python SDK and a provided Scikit-learn model. This model is then compared to a model from Azure AutoML

    Jupyter Notebook

  2. Operationalizing-Machine-Learning-Azure-ML Operationalizing-Machine-Learning-Azure-ML Public

    A classification algorithm is used to train model using AUTO ML and the best model that provides better accuracy is selected and deployed in Azure container instance(ACI). The deployed model provid…

    Jupyter Notebook

  3. Predicting-time-to-close-incident-Azure-ML-Capstone Predicting-time-to-close-incident-Azure-ML-Capstone Public

    ITSM Incident data from a Service now instance is used predict the time taken for incident to close or resolve it, so that the requester will be informed about ETA ( expected time of accomplishment…

    Jupyter Notebook 2 2

  4. Venu212.Delegate-Incidents-Automatically-ML-Capstone- Venu212.Delegate-Incidents-Automatically-ML-Capstone- Public template

    This project helps in identifying an incident and delegate to a specialist, who is responsible for seeing it through to resolution. NLTK and NLP used to parse text data . This helps to manage the d…

    Jupyter Notebook

  5. Image-identification-App Image-identification-App Public

    The model is trained using CNN. It accept any user-supplied image as input. If a dog is detected in the image, it will provide an estimate of the dog's breed. If a human is detected, it will provid…

    HTML

  6. Train-a-Smartcab-to-Drive Train-a-Smartcab-to-Drive Public

    This is developed based on based on Reinforcement learning. Developed an optimized Q-Learning driving agent that will navigate a Smartcab through its environment towards a goal. Since the Smartcab …

    HTML