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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.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Microsoft Quantum Development Kit Samples
A collection of Jupyter notebooks showing how to use the Qiskit SDK
"Deep Learning in Natural Language Processing" - a course by DeepPavlov built on top of Stanford's cs224n
San Francisco salaries survey
Home works for the zoomcamp machine learning course