Data Science
Supervised vs. unsupervised learning
To learn how to choose the right approach and data labeling technique for your ML projects, check out the white paper by Alegion below:
Python
Beginner
Book: Python Data Science Handbook
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Book: Python for Data Analysis
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Intermediate
Book: Data Science from Scratch: First Principles with Python
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Book (updated): Hands-On Machine Learning with Scikit-Learn and TensorFlow
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Other
Visual Intro to Pandas and Numpy
A Visual Intro to NumPy and Data Representation
A Gentle Visual Intro to Data Analysis in Python Using Pandas
Visualizing Pandas’ Pivoting and Reshaping Functions
R
Book: An Introduction to Statistical Learning: with Applications in R
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Purchase on Amazon
Topic: Probability and Statistics
Statistics Made Easy with R Cases
Probability Theory (PDF to Download)
Common Statistics Models (Web Pages to View)
Data Science Fundamentals — A/B Testing
5 Probability Distributions Every Data Scientist Should Know
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