Paul Apivat
Paul Apivat
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Gradient Descent -- Data Science from Scratch (ch8)
An overview of Gradient Descent
Paul Apivat
Dec 22, 2020
9 min read
BBC Women of 2020
Using the {sunburstR} package to visualize nested data.
Last updated on Dec 17, 2020
4 min read
Data Science from Scratch (ch7) - Hypothesis and Inference
An overview of statistical Hypothesis Testing, Estimation and Bayesian Inference
Paul Apivat
Dec 15, 2020
15 min read
Statistics & Probability in Code
Learning Statistics and Probability Concepts through Code Snippets
Paul Apivat
Dec 9, 2020
6 min read
Data Science from Scratch (ch6) - Probability
Gaining an intuition for probability using Python
Paul Apivat
Nov 22, 2020
25 min read
End-to-End Projects
A collection of inspiration for my own projects
Paul Apivat
Last updated on Nov 25, 2020
4 min read
Data Science from Scratch (ch5) - Statistics
Building tools to describe a data and find relationships
Paul Apivat
Nov 19, 2020
11 min read
Going beyond summary statistics
Demonstrating the importance of not (just) trusting summary statistics
Last updated on Nov 16, 2020
10 min read
Data Science from Scratch (ch4) - Linear Algebra
Building tools for working with vectors and matrices from scratch
Paul Apivat
Nov 10, 2020
9 min read
Supplementing lists with data frames
Combining for-loops, list comprehensions and data frames
Paul Apivat
Nov 7, 2020
7 min read
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