michaelreinhard

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/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.