Documenting and sharing everything I learn about Data Science, Machine Learning, R, Python, SQL and more.
This is Part 3 in the Thai Food Dishes series. See Part 1 and Part 2. Text Mining Which raw material(s) are most popular? One way to answer this question is to use text mining to tokenize by either word and count the words by frequency as one measure...
This post is Part 2 in the Thai Food Dishes series. Part 1 here. Data Cleaning Data cleaning is typically non-linear. We'll manipulate the data to explore, learn about the data and see that certain things need cleaning or, in some cases, going back ...
Photo by Alyssa Kowalski on Unsplash Overview "Let's order Thai." "Great, what's your go-to dish?" "Pad Thai.” This has bugged me for years and is the genesis for this project. People need to know they have other choices aside from Pad Thai. Pad Tha...
Rule-based Sentiment Analysis Using Python and R Overview Why Sentiment Analysis? NLP is subfield of linguistic, computer science and artificial intelligence (wiki), and you could spend years studying it. However, I wanted a quick dive to a get an i...
Overview & Setup This post uses various R libraries and functions to help you explore your Twitter Analytics Data. The first thing to do is download data from analytics.twitter.com. The assumption here is that you're already a Twitter user and have b...
Photo by Fineas Anton on Unsplash Overview In this post, we'll explore Gradient Descent from the ground up starting conceptually, then using code to build up our intuition brick by brick. While this post is part of an ongoing series where I document...
Overview This is a quick walk through of using the sunburstR package to create sunburst plots in R. The original document is written in RMarkdown, which is an interactive version of markdown. The following code can be run in RMarkdown or an R script...
Cover Photo by Nasonov Aleksandr on Unsplash Overview This is a continuation of my progress through Data Science from Scratch by Joel Grus. We'll use a classic coin-flipping example in this post because it is simple to illustrate with both concept an...
Cover Credit Overview Itertools are a core set of fast, memory efficient tools for creating iterators for efficient looping (read the documentation here). Itertools Permutations One (of many) uses for itertools is to create a permutations() function...
