kenoskynci Goto Github PK

apidoc

RESTful web API Documentation Generator.

appengine-guestbook-python

Guestbook is an example application showing basic usage of Google App Engine

appengine-rest-server

Automatically exported from code.google.com/p/appengine-rest-server

bikes_shop

blog

Blog App

cf-java-client

Cloud Foundry - the open platform as a service project

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

creditrisk_aquisitionanalytics

cv

data-cleaning-practical-examples

Data Cleaning In Python and Julia with Practical Examples

data-wrangling-pycon

An Introduction to Data Wrangling with Python

devise

Flexible authentication solution for Rails with Warden.

django-rest-framework

Web APIs for Django.

engarde

A library for defensive data analysis.

great_expectations

Always know what to expect from your data.

hr_app

This an HRM web application for college project

hrworld

HR_APP

inseadanalytics

laptop

A shell script which turns your OS X laptop into an awesome web development machine.

machine-learning-with-r

Machine Learning with R @FASTCAMPUS

mad_topic_model

COS 424 Final Project

messytables

Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py

method-using-svm-and-naive-bayes-to-analyse-fuel-subsidy-decreases-effect-in-jakarta-based-on-twitte

This research is my undergraduate thesis focusing on the effect of fuel subsidy cut using Machine Learning in Big Data. The background came which fuel subsidy cut is an major effect in Indonesia and i wonder i can capture people behaviour (changing) of using transportation to work. The idea is i implementing SVM and Naive Bayes algorithm to classifiy people using public transportation and private vehicle. This work is collaborate with United Nations Global Pulse - Pulse Lab Jakarta to provides me tweets data. Due to the procedure that UN had, i cannot shared the data. Most of the scripts is written in python using IPython Notebook. And the dataset that i want to analyse is differentiate into two parts : before the event (fuel subsidy cut) and after the event. Will people changing their transportation to work considering about fuel price that rising? After that, i applicate regression analysis to have conclusion or brief understanding between the amount of public transportation user and private vehicle user. At the end, i visualize all of the result from the system by using D3JS Visualization. For further discussion and information, please contact me at : [email protected] , [email protected] This work is still in progress, i hope that you can give me feedback or suggestion through the process of the project.

models

Models and examples built with TensorFlow

my_hrapp

An HR application that allows you to create an employee and employee profile and request for leave as well.

opendlp

Automatically exported from code.google.com/p/opendlp

ransack

Object-based searching. With maintenance by @radar and @jonatack!

rental_app

sentiment-analysis-twitter

:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.

stockpriceprediction

Stock Price Prediction using Machine Learning Techniques