naive bayes classifier

Anyone who trades using Technical Analysis knows what indicators are for sure. There are plenty of them available. As trading is becoming more serious instead of a hobby for me, I have an itch I need to scratch. I want to easily determine when to long or short given a set of indicators using predetermined (naive) assumptions of values. Indicators Here’s a set of indicators I use for a strategy. [Read More]

DailySocial.net is a tech blog founded by Rama Mamuaya. I enjoy visiting DailySocial and reading about the Indonesian tech scene. But yet I’ve grown weary of filtering news to read. So why not hack a news classifier I thought. Core Computing It took 10 minutes to hack something up in Python. Why so fast you ask? Because text processing is second nature in Python. NLTK is good but TextBlob is great. [Read More]

During the last week, I’ve been following up work with a side project to do machine learning with Urbanesia’s comprehensive data. A lot of late night reading and fiddling with foreign codes were the highlights of my last week. Wanted to elaborate my implementations and how several kinds of technologies affect benchmarks particularly with classification performance. The repo for the codes is at Github here. During time span of the first batch of codes until now, I have made lots of changes to the codes and also the data store. [Read More]

Recently Hacker News is flooded with numerous articles discussing or at least mentioning Naive Bayes Classifier algorithm. It’s a basic algorithm to classify a set of words into a certain category (set) based on prior learning of words and its probabilities. It sounds simple enough but without actual technical guide book, it’s quite trivial since most of the information out there regarding it is too messy for newbies like myself. [Read More]