An Introduction to Statistical Learning with Applications in Python

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  • StatsWithJuliaBook

  • I actually like this book by Yoni Nazarathy

    https://statisticswithjulia.org/

    They have a book on Mathematics of DL too which is a natural progression from the concepts covered here.

    (I am slightly biased towards this since I've known the author by online interactions)

  • ISLR

    Introduction to Statistical Learning

  • It’s a well known machine learning book. I’ve read through it and done the exercises in R.

    https://github.com/melling/ISLR

    There’s an edX course from the authors:

    https://www.edx.org/course/statistical-learning

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • ISLR.jl

    JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"

  • Honestly, I dont think they will have Julia version soon. I converted all the code in this book to Julia sometimes ago:

    https://github.com/tndoan/ISLR.jl

  • islr-for-gis

    A repository for the content that is used and generated while completing independent study on using statistical learning methods in GIS.

  • I also went through this book for a GIS course in grad school. https://github.com/gbrunner/islr-for-gis

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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