This is a lootfilter for the game "Path of Exile". It hides low value items, uses a markup-scheme and sounds to highlight expensive gear and is based on economy data mining.
🎨 Color recognition both on a webcam stream in real-time, on video and on a single image using K-Nearest Neighbors Machine Learning classification algorithm is trained with Color Histogram Features.
Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka
MyMaster is a combination of an android app and a web api that uses a classification algorithm to help students choosing the best master for their profile.
It would be beneficial to have more thorough descriptions of what each part of the program does internally, even if it's at a high level. This would especially make sense for the examples portion so that people can know what exactly it is that they're looking at. Maybe we can compile our knowledge here and then format it nicely in the examples README? We can also include non-essential / lower-leve
This is the SOFTCORE economy-updated version of my filter. It's based on the stable version, but is auto-updated with cutting-edge economy information (which are analyzed, postprocessed and run through several algorithms) every 4 hours.
This repository shows how to classify EMG data coming from Myo Armband using neural networks and interface a 3d printed robotic hand to imitate the classified movement
I have programmed for Association Rules using Eclat in both R and Python.
Please help me create a explanatory markdown documentation for the same.
Link for the code is here