Scott Stoltzman (stoltzmaniac)

stoltzmaniac

Geek Repo

Company:Stoltzman Consulting

Location:Fort Collins, CO

Home Page:https://www.stoltzmaniac.com

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Scott Stoltzman's repositories

Mushroom-Classification

Using the UC Irvine data for a classification example

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Epicurious-Recipe-Insights

A look into epicurious recipe data from Kaggle

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Marketing-Portfolio-Maximization

Looking into maximizing ROI with budget constraints

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ML-Image-Processing-Python

Utilizing opencv and image processing with machine learning.

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Renting-In-Colorado

Taking a look at rent prices per city with some visualizations

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analyzingAdwordsInR

Scripts for loading data from the AdWords API into R.

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bookdown-demo

A minimal book example using bookdown

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CDC-Data-Analysis

Taking information published by the CDC and turning into insights

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Colorado-LAI

Looking at the Location Affordability Index

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coloradoRent

The rent is too damn high in Colorado

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concord

A python scrapy project for parsing the daily congressional record

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dataExplainedProject

The crowdsourced data project

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encryptedDashboard

A Docker setup to run Rstudio & Shiny with Nginx and Let's Encrypt on Google Cloud

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focods.github.io

The future home of the Fort Collins Data Science Meetup

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Go-Code-Colorado-2017

Just a look into the data - not competing

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Missing-Persons

Showing missing persons data

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MNIST-handwritten-digit-recognition

Classification of MNIST Handwritten Digits Database using Deep Learning

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Oil-Production-By-State

Looking at production of oil by state and visualizing data

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One-Million-Headlines

Kaggle data set

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pizza_delivery

This repos will be for my pizza delivery data analysis and statistics. This is where I tackle simple questions to learn more about statistics and Python with a dataset I collected and know very well - my pizza delivery data!

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reproducibleResearchTemplate

An ideal setup for how I use Rstudio Projects

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SanicCRUD-vue

A example demo base Sanic with vueJS2.x + webpack2.x as new python full stack web practice

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videoplayR

A computer vision library for R

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WonderfulML

Series covering the fundamentals of machine learning

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