https://github.com/jaredblumer/learn-data-analysis
A curated collection of resources for learning data science, statistics, machine learning, deep learning, programming, and automation.
https://github.com/jaredblumer/learn-data-analysis
automation data-science deep-learning machine-learning programming statistics
Last synced: 7 months ago
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A curated collection of resources for learning data science, statistics, machine learning, deep learning, programming, and automation.
- Host: GitHub
- URL: https://github.com/jaredblumer/learn-data-analysis
- Owner: jaredblumer
- Created: 2024-07-06T17:54:54.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-07-07T13:27:43.000Z (over 1 year ago)
- Last Synced: 2025-04-05T04:23:22.619Z (9 months ago)
- Topics: automation, data-science, deep-learning, machine-learning, programming, statistics
- Homepage:
- Size: 17.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Learn Data Analysis
Welcome to our curated collection of resources for learning data science, statistics, machine learning, deep learning, programming, and automation.
## Data Science and Statistics
- [R for Data Science](https://r4ds.hadley.nz/) by Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund
- [The Elements of Statistical Learning: Data Mining, Inference, and Prediction](https://hastie.su.domains/Papers/ESLII.pdf) by Trevor Hastie, Robert Tibshirani, and Jerome Friedman
- [Introduction to Probability](https://drive.google.com/file/d/1VmkAAGOYCTORq1wxSQqy255qLJjTNvBI/edit) by Joseph K. Blitzstein and Jessica Hwang
- [Think Stats: Exploratory Data Analysis in Python](https://greenteapress.com/thinkstats2/thinkstats2.pdf) by Allen B. Downey
## Machine Learning and Deep Learning
- [Deep Learning with Python](https://sourestdeeds.github.io/pdf/Deep%20Learning%20with%20Python.pdf) by François Chollet
- [Machine Learning Mastery Books](https://github.com/jbrownlee/Books) by Jason Brownlee, PhD
## Programming and Automation
- [Automate the Boring Stuff with Python](https://automatetheboringstuff.com/) by Al Sweigart
- [Learn X in Y Minutes](https://learnxinyminutes.com/) by Adam Bard
## Data Sources
- [UC Irvine Machine Learning Repository](https://archive.ics.uci.edu/)
- [New York Academy of Medicine Data Sets](https://www.nyam.org/library/collections-and-resources/data-sets/)
- [data.world Data Sets](https://data.world/datasets/health)
- [National Cancer Institute](https://seer.cancer.gov/)
## Acknowledgements
A special thank you to [Rose Dasgupta, PhD, MPH, MHI, MS](https://github.com/pritikadasgupta) (they/them/he/him/ze/zir) for compiling these resources.