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across_globe_data_science

Data Science projects - An international Team

aihackaton

artificial-intelligence

awesome-algorithms

A curated list of awesome places to learn and/or practice algorithms.

awesome-public-datasets

A awesome list of (large-scale) public datasets on the Internet. (On-going collection)

bankrupt_prediction

Tensorflow estimator example used to predict whether a business will go bankrupt.

behavioral-health-provider-clustering

building-spark-applications-live-lessons

Supporting content (slides and exercises) for the Addison-Wesley (Pearson) video series covering best practices for developing scalable Spark applications for predictive analytics in the context of a data scientist's standard workflow.

capstone-project-january-2017

The object of this work is to quantify the factors in influencing user retention for a company. I stratified the data and applied a survival model to predict the lifetimes and the hazards that will surface at different points of a user's life. Then I calculated the Customer Lifetime Value (CLV) for each user based on predicted life.

countries

Tools to find out country where given GPS coordinates are

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

courses-1

fast.ai Courses

data-science-blogs

A curated list of data science blogs

data-science-primer

A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/

data-scientists-guide-apache-spark

Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.

dataops-docs

Quickly get started with DevOps tools and best practices for building modern data solutions.

depression-detect

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

depression-prediction-acoustic-based-

diabetes-management-application

donor_lifetimes_non_profit

The object of this work is to quantify the factors in influencing donor retention for a non-profit. I stratified the data and applied a patient survival model to predict the lifetimes and the hazards that will surface at different points of a donor's life. Then I calculated the Customer Lifetime Value (CLV) for each donor based on predicted lifetime, cost, and donation history. This allows the non-profit to make donor retention decisions based on data and analytics, not on instincts.

fraud_nlp

git-it

A workshopper module for learning Git and GitHub - Social coding, y'all.

javascript

GitBook teaching programming basics with Javascript

leetcode

lesson_one

lessons-learned-data-science-interviews

Lessons learned the hard way through over 30+ data science interviews

lifelines

Survival analysis in Python

list-of-us-states

List of US States in various Rails friendly formats

live_coding

Live Coding repo for showing to an info session

ml-workshop