Code that accompanies my talk at TF Dev Summit 2016
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Updated
Aug 18, 2017 - Python
Code that accompanies my talk at TF Dev Summit 2016
Machine learning models for detection of diseases.
ETL pipeline combined with supervised learning and grid search to classify text messages sent during a disaster event
Coursework and Assignments for EGRMGMT - 590(10)
it provide better parameter choosing ability
Using Grid Search to improve Machine Learning models
ETL Pipeline / ML Pipeline of Disaster Data provided by figure8
Implementation of various machine learning models in scikit-learn
Our goal is to discover what’s the quality of a wine considering only its chemical properties.
Script Invariant Grid Search
Hyperparameter config file generator.
Telecom customer churn example with h2o
Telecom customer churn example with h2o
Analysis and prediction for the housing market prices using Cross Validation and Grid Search in several regression models
Experimental using on Iris dataset of MultiLayerPerceptron (MLP) tested with GridSearch on parameter space and Cross Validation for testing results.
DSND Disaster Response Pipelines Project
Persistence/ Base model, ARIMA Hyperparameters, Grid search for p,d,q values, Build Model based on the optimized values, Combine train and test data and build final model
Prevendo Customer Churn em Operadoras de Telecom
16. Exoplanet Exploration - Machine Learning Challenge
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