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David KariukiSay we wanted to calculate individual subject rankings and overall rankings for a group of students, given their Math, English and Biology scores. We …
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Say we wanted to calculate individual subject rankings and overall rankings for a group of students, given their Math, English and Biology scores. We …
http://www.davidkariuki.com/
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David Kariuki | davidkariuki.com Reviews
https://davidkariuki.com
Say we wanted to calculate individual subject rankings and overall rankings for a group of students, given their Math, English and Biology scores. We …
davidkariuki.com
K-means Clustering With Ruby - David Kariuki
http://www.davidkariuki.com/blog/2014/05/25/k-means-clustering-with-ruby
K-means Clustering With Ruby. Let’s say we have a collection of businesses in three distinct regions: the East coast, West coast and fly-over country, and we would like to classify these businesses by region. Clustering algorithms, which aim to partition a set of data points into a small number of clusters, are some of the most commonly used solutions for data classification problems. Assign each data point to the closest centroid (by euclidean distance or other distance metric), creating k clusters.
Blog Archive - David Kariuki
http://www.davidkariuki.com/blog/archives
Computing Rankings in MySQL. K-means Clustering With Ruby. Playing With Ruby Hashes. Quicksort (In-place) With Ruby. The Median of Medians Algorithm With Ruby. Computing Rankings in MySQL. K-means Clustering With Ruby. Playing With Ruby Hashes. Quicksort (In-place) With Ruby. The Median of Medians Algorithm With Ruby.
Computing Rankings in MySQL - David Kariuki
http://www.davidkariuki.com/blog/2014/06/01/computing-rankings-in-mysql
Computing Rankings in MySQL. Say we wanted to calculate individual subject rankings and overall rankings for a group of students, given their Math, English and Biology scores. We can accomplish this with a single query if we leverage MySQL’s user-defined variables. Our schema consists of a. Table and three other tables to store scores for each subject. Index english scores on student id. Index math scores on student id. Index biology scores on student id. Giving us the following results:. English rank de...
Quicksort (In-place) With Ruby - David Kariuki
http://www.davidkariuki.com/blog/2014/05/05/a-quicksort-in-place-implementation-in-ruby
Quicksort (In-place) With Ruby. Quicksort is a popular sorting algorithm. Best and average-case performance, and O(n. Worst case performance when sorting n. If the list only has a single element return it. Move elements around until bigger elements are to the right and smaller elements are to the left of the pivot. Recursively apply the above steps to the left and right groups of elements. Here are a few test cases to check that our implementation does what it’s supposed to do:. Sorts the array in place.
Playing With Ruby Hashes - David Kariuki
http://www.davidkariuki.com/blog/2014/05/09/playing-with-ruby-hashes
Playing With Ruby Hashes. Method accepts an optional parameter which is returned when you try to access a key that does not exist in the hash (the default is nil). For example:. While the first example may not very useful,. Also accepts a block that will be called with the hash object and the key whenever you try to access a key that does not exist in the hash, for example:. You can also modify the hash within the callback. Here’s a more useful example where we create a memoized. Posted by David Kariuki.
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davidkariuki (David Kariuki) · GitHub
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Apr 28, 2010. Sexier version of Railscasts vim color scheme / theme. A collection of different algorithms, in ruby. A stochastic simulation of HIV transmission (MTCT). Soap client for the Yodlee API. 0 contributions in the last year. Summary of pull requests, issues opened, and commits. Learn how we count contributions. Davidkariuki has no activity during this period. You can't perform that action at this time. You signed in with another tab or window. Reload. To refresh your session.
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David Kariuki
Computing Rankings in MySQL. Say we wanted to calculate individual subject rankings and overall rankings for a group of students, given their Math, English and Biology scores. We can accomplish this with a single query if we leverage MySQL’s user-defined variables. Read on →. K-means Clustering With Ruby. The k-means algorithm is what we will use to cluster our data. It is an unsupervised machine learning algorithm that groups data points into k clusters, minimizing the distance from each data point ...
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ADVERTISING and GRAPHIC DESIGN. In a world with media sprouting out of every corner, I am on the life long quest to think, design, build and learn. This quest allows my artistic talents to collide with everything technology has to offer. Using a wide and unique array of skills, from tech to traditional, I am seeking creative challenges to allow my expertise to flourish. Send me a message. Thanks for stopping by. Don’t forget to shoot me an email. And say whats up.
