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The traditional machine learning models give a lot of pain when we do not have sufficient labeled data for the specific task or domain we care about to train a …
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling…
This project builds a Continuous Integration pipeline using GitHub Actions, and a Continuous Delivery pipeline using Azure Pipelines for a Machine Learning Appl…