Clustered the crimes in a dictionary (map). The plot tool aggregates the crimes within some zip and prints it out, at the average of the points that have been assigned to that zip. Kind of like K-Means. This makes the plotting easier and more sensible. The main concern is getting the features and running a Naive Bayes Classifier, which I am now working on
I got housing data, for Alameda County —which I will use as a feature. Kindly let me know if you have other features in mind that we may use to obtain better rests for the Naive Bayes Classifier. As of now, we have a few features.
Added comments to the path.py —for house feature
Can you please make it possible to call the perl script with an argument so I can clean any file. I need some help cleaning this file, cause I want to clean it according to your precision on the other file, so I can extract the features needed for Naive Bayes.
I have been working on the Naive Bayes Classifier. Check it out.
Wow, I think I am done for the night. Try playing around with this and understanding the code. I kind of had to do some tricks in some places to make things easier. I used test.csv for the training data. I need some help creating the training and test data. Also, let us get started on the write up.