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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

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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…

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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…

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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…

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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…

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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 …

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