michaelreinhard
I earned my PhD from the University of Chicago with statistical analysis of discourse in Congress surrounding welfare reform.
Data ScientistChicago, Illinois
Pinned Repositories
AmazonReviews
This is the final Repository for my DSND Capstone project
beazley_practical_python
Dave Beazley's Practical Python course review of exercises.
black_friday
DSND requirement, analysis of black friday sales at Indian department stores
boston_housing
This is my 1st Machine Learning Nano degree project for demonstrating metrics
customer_segments
Udacity Project for unsupervised learning
dog_classifier
mlrefined
Python and MATLAB code examples and demos from the textbook "Machine Learning Refined" (Cambridge University Press)
parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
scikit-learn
scikit-learn: machine learning in Python
michaelreinhard's Repositories
michaelreinhard/black_friday
DSND requirement, analysis of black friday sales at Indian department stores
michaelreinhard/AmazonReviews
This is the final Repository for my DSND Capstone project
michaelreinhard/beazley_practical_python
Dave Beazley's Practical Python course review of exercises.
michaelreinhard/boston_housing
This is my 1st Machine Learning Nano degree project for demonstrating metrics
michaelreinhard/customer_segments
Udacity Project for unsupervised learning
michaelreinhard/dog_classifier
michaelreinhard/aws_recommendations
michaelreinhard/course-resources-ml-with-experts-budgets
Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.
michaelreinhard/d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
michaelreinhard/Disaster
This is a project for the Udacity DSND that NLP to classify text messages and deploy it in a web app.
michaelreinhard/DisasterResponse
michaelreinhard/DSND_Term2
Contains files related to content and project of DSND Term 2
michaelreinhard/dziganto.github.io
michaelreinhard/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
michaelreinhard/Indeed_project
michaelreinhard/machine-learning
Content for Udacity's Machine Learning curriculum
michaelreinhard/math_notes
For me and my students, explanations of math concepts and problems. May be of special interest to those preparing for standardized tests.
michaelreinhard/metis_watt_2017
For Jeremy Watt's machine learning class
michaelreinhard/michaelreinhard.github.io
michaelreinhard/michaelreinhard.old
Site where I post my resume and other things
michaelreinhard/nceder.github.io
michaelreinhard/nlp_markham
michaelreinhard/nonlinear_meetup_talk
michaelreinhard/python_functions
Explanation for various python functions, mainly for my own reference.
michaelreinhard/R-Udacity
Final project for data analyst nano degree "Visualize a Data Set"
michaelreinhard/Recommendations_IBM
This is a project I completed for my data science nano degree with Udacity
michaelreinhard/resume
My online resume, first created as part of the Udacity Introduction to Programming Nano Degree
michaelreinhard/sklearn_markham
michaelreinhard/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
michaelreinhard/universe-starter-agent
A starter agent that can solve a number of universe environments.