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arvato-project

Identifies the parts of the Germany population that best describe the core customer base of the Arvato company. Uses a supervised model to predict which individuals are most likely to convert into becoming customers for the company.

code-for-canada

Skills Challenge for Code for Canada

disaster-responses-pipeline

A machine learning pipeline to categorize emergency messages based on the needs communicated by the sender.

distributions

Gaussian and Binomial Distributions implementation

doublelinked-lists

An implementation of double linked list in C

dsnd_term1

Contains files related to content and project of DSND

finding-donors

Predicts whether an individual makes more than $50,000

happiness-and-gender-equality

A data-based approach to find trends or patterns between happiness and gender equality

hopper_wfm_test

Exercise for Hopper

identify-customer-segments

Identifies potential customers in a general demographic data set from Germany, using clustering techniques.

image-classifier

An implementation of an image classifier by training a deep learning model on a data set of images and then using the same trained model to classify the images.

llc-intro-to-ai-master

Introduction to Artificial Intelligence and Machine Learning

recommender-module

spherical-projection

worldbank

Web app for a data dashboard