6695zkl's starred repositories
MLP-GA-hyperparameter-search
I Evolve an evolutionarry algorithm to optimize a sklearn MLP on the breast cancer dataset
Car_Insurance_LGBMRegressor
Car insurance predictive project using some regressor models
Insurance_claim_classification
This repository contains code for building a ML classification model for insurance claim status.
Travel-Insurance-Claim-Status-Classification
Binary Dependent Variable Classification (Probit, Logit Regression)
DeepQuantreg
Deep Learning for Quantile Regression under Right Censoring
tornadoesr
Integrating various public data sets and using that data in zero-inflated neural networks to predict tornado property damages. Prediction maps and paper draft included.
Wine-Sale-Regression
a Zero-Inflated Poisson Model is built to predict wine sale
XGBRegressor
A simple implementation to regression problems using Python 2.7, scikit-learn and XGBoost
feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
BinaryQuantileRegression
Codebase for the paper Estimation and Applications of Quantiles in Deep Binary Classification
Multiple-Linear-Regression-Multivariate-Quantile-Regression-Ridge-Regression-Lasso-Regression-and
Multiple Linear Regression ,Multivariate Quantile Regression, Ridge Regression, Lasso Regression and Elastic Net Regression
keras-quora-question-pairs
A Keras model that addresses the Quora Question Pairs dyadic prediction task.
Bayesian-quantile-regression
Use "Bayesian Quantile Regression" to find out what factors affect the number of people entering and leaving the bus..
GPDPQuantReg
R Package. Bayesian and nonparametric quantile regression, using Gaussian Processes to model the trend, and Dirichlet Processes, for the error. Author: Carlos Omar Pardo Gomez.