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A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
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This repository is a compilation of free resources for learning Data Science.
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Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
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A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
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scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.
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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumP…
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An AI-powered data science team of agents to help you perform common data science tasks 10X faster.
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Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017