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apriori_algorithm

Application of apriori rule algorithm

awhere

aWhere API python wrapper

bigode

bmsis-omnicrop

OMNICROP uses a database composed of labeled data such as light quality and quantity, general climate characteristics and soil quality from successful farming sites. This data is then used to sort and select the most successful crops for a particular set of circumstances. This process can provide either earthbound farmers or off-world colonists with the a-priori information needed to start successful, productive food production while preventing costly and time-consuming mistakes that derive from on-site experimentation or be directly linked to self-managing cultivation chambers. This project is an open source model where any user can input data and obtain results. Frequent reuse will assist the models to “learn” and continually re-calibrate itself providing increasingly accurate results over time. If selected, the candidate will assist with organizing the labeled data and on programming the model as well as be given full liberty to come up with new ideas on how to integrate the model’s premise on building cheap self-managing cultivation chambers using IoT.

challenge

closeness centrality

data-science-wg

SF Brigade's Data Science Working Group.

datasciencecoursera

Curso de especialização em ciencia de dados Coursera

datasharing

The Leek group guide to data sharing

datastaxdatamodeling

Resolutions for the DataStax Data Modeling Exercises

deeplearning

Udacity Deep Learning Foundations Nanodegree

driver-multiprocessing

Examples using multiprocessing with cassandra-driver

elasticjs

Elastic Search with d3 Js

fast_api_skeleton

fernandofavoretti.github.io

fklearn

fklearn: Functional Machine Learning

gitignore

A collection of useful .gitignore templates

hackathonnubank

incubator-airflow

Apache Airflow (Incubating)

jupyter-dark-theme

Dark theme for Jupyter Notebook (iPython 4) UI

kaggle-titanic

A clojure implementation of Kaggle.com's titanic project

liken

full project - crawler, python api, front

machine-learning

cloned from github.com/FlorianMuellerklein/Machine-Learning

machine-learning-with-r-datasets

Formatted datasets for Machine Learning With R by Brett Lantz

master_automl

Uma solução automática de engenharia de características para algoritmos de aprendizado baseados em árvores.

miniflow

#Udacity nanodegree Deep Learning

mixture_of_experts

ml4seti

Machine Learning for SETI

neural-net-xor-problem-

Backprop algorithm to solve XOR problem. A perfect place to start if you are new to Neural Networks.

newsfeed

Um leitor simples de RSS com possibilidade de curtir e compartilhar matérias que são expostas como RSS.

nmrview_data