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Paul Apivat

Documenting and sharing everything I learn about Data Science, Machine Learning, R, Python, SQL and more.

Location Bangkok, Thailand Joined Joined on  Personal website https://github.com/PaulApivat github website

Education

Columbia University

Work

Data Scientist at Looking for work

Mining Thai Food Text with R

Mining Thai Food Text with R

6
Comments
5 min read

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Visualizing Thai Food with R

Visualizing Thai Food with R

7
Comments
6 min read
Using Python to Scrape Thai Food Data

Using Python to Scrape Thai Food Data

15
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4 min read
How Positive are Your Facebook Posts?

How Positive are Your Facebook Posts?

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9 min read
Quickly Analyze Relationships in your Twitter Data

Quickly Analyze Relationships in your Twitter Data

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4 min read
Grasping Gradient Descent using Python

Grasping Gradient Descent using Python

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8 min read
Exploring nested data with sunburst plots in R

Exploring nested data with sunburst plots in R

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4 min read
Explore Hypothesis Testing using Python

Explore Hypothesis Testing using Python

8
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13 min read
Permutation in Python

Permutation in Python

5
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5 min read
Probability Distributions with Python: Discrete & Continuous

Probability Distributions with Python: Discrete & Continuous

1
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5 min read
Bayes Application & Code: A Medical Diagnostic Scenario

Bayes Application & Code: A Medical Diagnostic Scenario

1
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6 min read
Bayes' Theorem: Concepts and Code

Bayes' Theorem: Concepts and Code

32
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6 min read
Conditional Probability with Python: Concepts, Tables & Code

Conditional Probability with Python: Concepts, Tables & Code

6
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8 min read
Statistics from Scratch with Python

Statistics from Scratch with Python

8
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13 min read
Going beyond summary statistics

Going beyond summary statistics

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6 min read
Matrices in Python

Matrices in Python

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5 min read
Vectors in Python

Vectors in Python

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5 min read
Supplementing lists with data frames

Supplementing lists with data frames

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6 min read
Making sense of matplotlib

Making sense of matplotlib

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5 min read
Collections and Comprehensions (pt.2)

Collections and Comprehensions (pt.2)

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6 min read
Collections and Comprehensions

Collections and Comprehensions

6
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5 min read
Pseudo-Randomness and a hint of Regex

Pseudo-Randomness and a hint of Regex

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3 min read
A Brief Foray into Lazy Evaluation

A Brief Foray into Lazy Evaluation

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2 min read
Understanding Object-Oriented Programming with Assert

Understanding Object-Oriented Programming with Assert

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3 min read
List Comprehensions

List Comprehensions

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3 min read
Control Flow & Truthiness

Control Flow & Truthiness

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2 min read
Counters & Sets

Counters & Sets

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3 min read
defaultdict

defaultdict

6
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5 min read
Dictionaries

Dictionaries

6
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3 min read
Python List and Numpy Array

Python List and Numpy Array

6
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3 min read
Strings and Exceptions

Strings and Exceptions

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2 min read
Higher Order Functions

Higher Order Functions

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4 min read
Data Science from Scratch: Intro & Setup

Data Science from Scratch: Intro & Setup

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2 min read
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