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data-science-learning-resources. A comprehensive list of free resources for learning data science
machine-learning-tutorials. Jupyter Notebook
airflow_sandbox. Python
cracking-the-data-science-interview. A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
evidently. 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.
dslp. The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.
awesome-jupyter. A curated list of awesome Jupyter projects, libraries and resources
Made-With-ML. Learn how to develop, deploy and iterate on production-grade ML applications.
nlp-recipes. Natural Language Processing Best Practices & Examples
natural-language-processing. Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning
spark-nlp. State of the Art Natural Language Processing
awesome-nlp. :book: A curated list of resources dedicated to Natural Language Processing (NLP)
Papers-Literature-ML-DL-RL-AI. Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Machine-Learning-with-Python. Practice and tutorial-style notebooks covering wide variety of machine learning techniques
