juanerolon Goto Github PK

followers: 5.0 following: 2.0 repos: 33.0 gists: 0.0

Name: Juan Rolon

Type: User

Company: City of Shreveport

Bio: Physicist | Machine Learning Engineer | Data Scientist | City of Shreveport - Radiance Technologies

Location: Shreveport, Louisiana

Juan Rolon's Projects

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

awesome-threat-intelligence

A curated list of Awesome Threat Intelligence resources

azure_ai_test

Provides a public space for testing AI and Cognitive Azure Services

blackjack_console

Python implementation for a console version of casino game Blackjack (Unix/OS X tested Python 3.6)

convolutional-neural-networks-ai

Implements a data processing pipeline with convolutional neural networks to classify the unlabeled images of different dogs according to their breed.

customer-segmentation-analysis

In this project, I analyze a dataset containing annual spending spending data on diverse product categories for internal structure. One goal of this project is to best describe the variation in the different types of customers that a wholesale distributor interacts with.

dagmm

DAGMM Tensorflow implementation

data-engineering-lectures

Stores work dedicated to data engineering lectures

dbtaco-sql

DBTaco implements wrapper methods to maintain an sqlite database

deep-learning-playground

Collection of individual scripts and ipython notebooks of my scratch work towards implementing convolutional neural networks in Keras and Tensorflow.

deep-learning-time-series

A compilation resources to design a time-series anomaly detector using deep learning techniques.

demographics

Illustrates the use of Google Cloud, Azure and AWS geolocation APIs. In addition illustrates how to couple geolocation to demographic, socioeconomic information in specific zones.

ecs

Elastic Common Schema

elastic-playground

ELK stack playground

epipy

Python tools for epidemiology

fusion

Efficient Multistream Classification using Direct DensIty Ratio Estimation

health-data-manip

Set of utilities to manipulate datasets found in health care databases

house-price-forecasting

In this project, we develop a supervised machine learning model that is trained and tested on data collected from homes in suburbs of a major urban center. We aim to use the model to make certain predictions the price of a home. Our model has practical application in the real estate industry, in particular for an agent who could make use of the obtained information on a daily basis.

imaging-time-series-to-improve-classification-and-imputation

Init creation

income-prediction-machine-learning

In this project, I employ several supervised algorithms to accurately predict an individual income using data collected from the 1994 U.S. Census. We implement various testing procecures to choose the best candidate algorithm from preliminary results and further optimize this algorithm to best model the data.

machine-learning

Content for Udacity's Machine Learning curriculum

ml-ai-cv1

Revisits utilities and code to prepare a computer vision project based on deep learning concepts

old_blackjack_dev

Old development repo. Implements a blackjack game using basic Python modules and classes

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

risk-factors-discovery

In this project, we train a gradient boosting classifier on publicly available data to identify risk predictors for diabetes and cardiovascular disease for individuals residing in the United States. Our results suggest that researchers and clinicians could make use of machine learning analyses to obtain valuable health assessment of patients at a much reduced cost and time.

juanerolon Goto Github PK

Juan Rolon's Projects

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