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di_proposal

reddit_comments

Exploratory data and sentiment analysis on Reddit Comments

scrapy_crawlers

web crawlers built on scrapy

tagging-raw-job-descriptions-nlp

Using natural language processing (NLP) to tag raw job descriptions

udacity-dand-project-3

Data wrangling and analysis of Honolulu OSM data using python and SQL

udacity-dand-project-4

Exploratory Data Analysis on White Wine Quality Using r

udacity-dand-project-5

Machine learning model for identifying persons-of-interest (POI) from Enron data

udacity-dand-project-6

Creating a graphic (Amazon revenue and employee count) using dimple.js

udacity-dand-project-7

Design and analyze an A/B Test for an Online Education Provider (Udacity)

udacity-i2p-stage1

A website covering an aspect of my business, created as the Stage 1 project for Udacity's Intro to Programming Nanodegree

udacity-i2p-stage2

A python fill-in-the-blank quiz, created as the Stage 2 project for Udacity's Intro to Programming Nanodegree

udacity-i2p-stage3

Movie trailer website (showing a few of my favorites) created as the Stage 3 project for Udacity's Intro to Programming Nanodegree

udacity-i2p-stage5

Analysis of Titanic passenger data - Final data analysis project for the Udacity Intro to Programming Nanodegree

udacity-mlnd-project-0

Applying machine learning to Titanic data, to predict survival with >80% accuracy (Udacity Machine Learning Nanodegree Project 0)

udacity-mlnd-project-1

Boston Housing Prices - Machine Learning - Udacity MLND Project 1

udacity-mlnd-project-2

model the factors that predict how likely a student is to pass their high school final exam (Project 2 of the Udacity Machine Learning Nanodegree)

udacity-mlnd-project-3

Unsupervised machine learning models for segmenting distributor customers (submitted as project 3 for the Udacity Machine Learning Nanodegree)

udacity-mlnd-project-4

Using reinforcement learning to train a smartcab to drive. Completed as part of the Udacity Machine Learning Nanodegree program.

udacity-mlnd-project-5-capstone

Using machine learning to predict the directionality of the S&P500 Stock Market Index

webpage_test