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autoencoder_model

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

cnn-for-sentence-classification-in-keras

Convolutional Neural Networks for Sentence Classification in Keras

course-v3

The 3rd edition of course.fast.ai

crossvalidation

interactive-map

3. This code will help you build an interactive map, using Mapbox and D3, to visualize the property inspections and fires.

learning-apache-spark

This repository contains apache spark tutorials implemented with pypsark. For some machine learning methods, there will be comparisons between pyspark and R results.

machine-learning

metro21research

naive_bayes

Naive Bayes Implementation with Kmeans and Kmeans++

property-joins

1. This code will help you join multiple data sets about commercial properties to discover new properties for fire inspection.

risk-model

2. This code cleans your property data and runs the risk model to determine and assign a risk score to each property.

temporal-fire-risk

Takes in real-time civic data to predict property-level fire risk

unsupervisedlearning

Implementing K means and K means++

usefulscripts

Useful Scripts

yelpscraper-

This notebook has python code that scrapes Yelp using the Yelp API accounting for parameterization and pagination, makes authentication requests using OAuth, makes HTTP requests. It retrieves all the restaurant data on Yelp, parses API responses ( HTML and json) and retrieves all restaurant reviews.