Topic: "quantile-regression"
ShangtongZhang/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
Language: Python - Size: 10.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 3,305 - Forks: 692
qfettes/DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Language: Jupyter Notebook - Size: 152 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 1,073 - Forks: 329
henrikbostrom/crepes
Python package for conformal prediction
Language: Python - Size: 24.3 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 509 - Forks: 40
cyoon1729/RLcycle
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
Language: Python - Size: 3.52 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 288 - Forks: 62
yromano/cqr
Conformalized Quantile Regression
Language: Jupyter Notebook - Size: 5.02 MB - Last synced at: 3 days ago - Pushed at: about 3 years ago - Stars: 275 - Forks: 51
zillow/quantile-forest
Quantile Regression Forests compatible with scikit-learn.
Language: Python - Size: 81.8 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 232 - Forks: 29
eliahuhorwitz/Conffusion
Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.
Language: Python - Size: 2.14 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 139 - Forks: 5
superlinear-ai/conformal-tights
š Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
Language: Python - Size: 857 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 110 - Forks: 3
FilippoMB/Ensemble-Conformalized-Quantile-Regression
Valid and adaptive prediction intervals for probabilistic time series forecasting.
Language: Jupyter Notebook - Size: 1.96 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 93 - Forks: 10
liquidSVM/liquidSVM
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
Language: C++ - Size: 4.36 MB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 67 - Forks: 9
aangelopoulos/im2im-uq
Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.
Language: Python - Size: 5.24 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 56 - Forks: 10
saattrupdan/doubt
Bringing back uncertainty to machine learning.
Language: Python - Size: 2.28 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 53 - Forks: 3
wwiecek/baggr
R package for Bayesian meta-analysis models, using Stan
Language: R - Size: 12.8 MB - Last synced at: 8 days ago - Pushed at: 10 days ago - Stars: 49 - Forks: 12
getzze/RobustModels.jl
A Julia package for robust regressions using M-estimators and quantile regressions
Language: Julia - Size: 782 KB - Last synced at: 3 days ago - Pushed at: 9 months ago - Stars: 36 - Forks: 2
RektPunk/MQBoost
Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) using LightGBM and XGBoost
Language: Python - Size: 752 KB - Last synced at: 23 days ago - Pushed at: 7 months ago - Stars: 32 - Forks: 6
lorismichel/quantregForest
R packageĀ -Ā QuantileĀ RegressionĀ Forests, a tree-based ensemble method for estimation of conditional quantiles (Meinshausen, 2006).
Language: C - Size: 478 KB - Last synced at: 5 days ago - Pushed at: over 7 years ago - Stars: 30 - Forks: 7
RichardFindlay/day-ahead-probablistic-forecasting-with-quantile-regression
Using an integrated pinball-loss objective function in various recurrent based deep learning architectures made with keras to simultaneously produce probabilistic forecasts for UK wind, solar, demand and price forecasts.
Language: Python - Size: 718 MB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 29 - Forks: 4
ErezSC42/qr_forcaster
Our implementation of the paper "A Multi-Horizon Quantile Recurrent Forecaster"
Language: Python - Size: 544 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 8
Buczman/CaviaR
R code for CAViaR model
Language: R - Size: 77.1 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 24 - Forks: 14
BayerSe/l1qr
Lasso Quantile Regression
Language: Python - Size: 1.13 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 23 - Forks: 8
msesia/chr
Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems
Language: Python - Size: 218 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 22 - Forks: 7
dannysdeng/dqn-pytorch
PyTorch - Implicit Quantile Networks - Quantile Regression - C51
Language: Python - Size: 1.46 MB - Last synced at: 20 days ago - Pushed at: almost 6 years ago - Stars: 22 - Forks: 2
gcampanella/pydata-london-2018
Slides and notebooks for my tutorial at PyData London 2018
Language: Jupyter Notebook - Size: 2.72 MB - Last synced at: 20 days ago - Pushed at: almost 7 years ago - Stars: 21 - Forks: 6
CenterForAssessment/SGP
Functions to calculate student growth percentiles and percentile growth projections/trajectories for students using large scale, longitudinal assessment data. Functions use quantile regression to estimate the conditional density associated with each student's achievement history. Percentile growth projections/trajectories are calculated using the coefficient matrices derived from the quantile regression analyses and specify what percentile growth is required for students to reach future achievement targets.
Language: R - Size: 3.02 GB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 20 - Forks: 21
fmpr/DeepJMQR
Deep joint mean and quantile regression for spatio-temporal problems
Language: Jupyter Notebook - Size: 125 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 12 - Forks: 7
SSS135/aiqn-vae
VAE + Quantile Networks for MNIST
Language: Python - Size: 242 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 12 - Forks: 1
yatshunlee/CAViaR
Measure market risk by CAViaR model
Language: Jupyter Notebook - Size: 30.2 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 11 - Forks: 2
CY-dev/hqreg
Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net
Language: C - Size: 215 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 10 - Forks: 2
opardo/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.
Language: R - Size: 629 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 0
Jbrich95/pinnEV
Partially-Interpretable Neural Networks for Extreme Value modelling
Language: R - Size: 588 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 1
elifyilmaz2027/traffic_flow_forecasting_methods
The repository gives case studies on short-term traffic flow forecasting strategies within the scope of my master thesis.
Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 1
adrian-lison/interval-scoring
This repository contains python implementations of scoring rules for forecasts provided in a prediction interval format.
Language: Jupyter Notebook - Size: 17.6 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 2
anhdanggit/non-parametric-econometrics
This is the R code for several common non-parametric methods (kernel est., mean regression, quantile regression, boostraps) with both practical applications on data and simulations
Language: R - Size: 1.58 MB - Last synced at: 11 months ago - Pushed at: about 7 years ago - Stars: 7 - Forks: 8
TeaPearce/Censored_Quantile_Regression_NN
NeurIPS paper 'Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis'
Language: Jupyter Notebook - Size: 928 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 1
jobstdavid/gamvinereg
D-Vine GAM Copula based Quantile Regression
Language: R - Size: 400 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0
egpivo/QuantRegGLasso
R Package: Adaptively weighted group lasso for semiparametic quantile regression models
Language: R - Size: 2.57 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 4 - Forks: 0
luca-pernigo/kernel_quantile_regression
Kernel quantile regression
Language: Jupyter Notebook - Size: 343 MB - Last synced at: 26 days ago - Pushed at: 11 months ago - Stars: 4 - Forks: 1
be-green/quantspace
R package for estimating quantile regression coefficients via the quantile spacing method
Language: R - Size: 51.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 3
kkranker/cic
Stata implementation of the Athey and Imbens (2006) Changes-in-Changes model
Language: Stata - Size: 144 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 1
kthohr/BayesianQuantileRegression
Bayesian Quantile Regression
Language: C++ - Size: 69.3 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0
Avinash793/regression-analysis-examples
Detailed implementation of various regression analysis models and concepts on real dataset.
Language: Jupyter Notebook - Size: 3.55 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1
fboehm/openFHDQR
Open-source implementation of ADMM algorithms for penalized quantile regression in Gu, et al. 2018 Technometrics
Language: C++ - Size: 234 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0
alexanderhanboli/censored_ExtremelyRandomForest
Random or Extremely Random Forest for censored quantile regression.
Language: R - Size: 53.7 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 4
chouaib-629/quantileRegression
Quantile regression for delivery time and some scenarios.
Language: Jupyter Notebook - Size: 589 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0
AhmetZamanis/DeepLearningEnergyForecasting
Time series forecasting on an hourly energy dataset, with LSTM & Transformer models implemented in PyTorch Lightning. Deployment of the Transformer model using Docker, with GPU support.
Language: Jupyter Notebook - Size: 15.2 MB - Last synced at: 10 days ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0
juanfaca/Gender_Wage_Gap_Quantiles
This project provide key information and evidence about the existence of sticky floor and glass ceiling in the laboral market in Peru. Likewise, the gender wage gap is calculated vĆa statistic modelling.
Language: Jupyter Notebook - Size: 17.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
BayerSe/esreg
The goal of esreg is to simultaneously model the quantile and the expected shortfall of a response variable given a set of covariates.
Language: R - Size: 181 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 2
aryamanjeendgar/LogGENE
Code for the paper: LogGENE, A Smooth alternative for the Check Loss
Language: Jupyter Notebook - Size: 152 MB - Last synced at: 12 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1
thvasilo/uncertain-trees-reproducible
Online random forests with prediction uncertainty
Language: Shell - Size: 131 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 2
alexanderhanboli/censoredQRF
censored Quantile Random Forest
Language: C - Size: 1.69 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 1
hatalis/Quantile_Detector
Qauntile autoregressive neural network for time series anamoly detection.
Language: Python - Size: 467 KB - Last synced at: 4 months ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 2
simonpf/predictive_uncertainty
A validation study for the application of quantile regression neural networks to Bayesian remote sensing retrievals
Language: Jupyter Notebook - Size: 53.8 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 2
jiewenTsai/ExtendedRtIrtModeling.jl
Extended Response Time Item Response Models with Polya-Gamma Sampler and Bayesian Quantile Regression.
Language: Julia - Size: 1.64 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0
vlad-yeghiazaryan/armenian-gar
GaR model for Armenia
Language: Jupyter Notebook - Size: 915 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
DolbyUUU/regression_algorithm_implementation_python
regression algorithm implementaion from scratch with python (least-squares, regularized LS, L1-regularized LS, robust regression)
Language: Python - Size: 4.88 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
antononcube/Python-Regressionizer
Python package with a class that allows pipeline-like specification and execution of regression workflows.
Language: Python - Size: 4.89 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
stats9/math-and-python
This repository is created to provide suggestions for solving mathematical problems using Python, as well as suggestions for implementing statistical models and Python tools that can help, based on empirical problems.
Language: Jupyter Notebook - Size: 28.4 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
JillianHebert/A-Primer-on-Quantile-Regression-for-Epidemiologists
Presented workshop at the Society for Epidemiologic Research (SER) 2023 conference
Language: R - Size: 11.7 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
nassernajibi/precipitation-scaling-WRs-Northeast
A repo for "Precipitation Scaling With Temperature in the Northeast US: Variations by Weather Regime, Season, and Precipitation Intensity"
Language: R - Size: 62.5 KB - Last synced at: 6 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
antononcube/Raku-DSL-English-QuantileRegressionWorkflows
Raku package for making Quantile regression workflows using natural language commands (in English.)
Language: Raku - Size: 103 KB - Last synced at: 21 days ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
krmays/MarchMadness
Predicting March Madness results using quantile regression with train data on tournament teams from 2002-2022
Language: R - Size: 1.74 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
antononcube/WL-MonadicQuantileRegression-paclet
Wolfram Language (aka Mathematica) paclet for monadic Quantile Regression workflows.
Language: Mathematica - Size: 1.87 MB - Last synced at: 14 days ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
oguzhan140281/-Quantile-regression-and-nonlinear-vector-autoregression-VAR-model-
The codes replicate the "Assessing the impacts of financial stress index of developed countries on the exchange market pressure index of emerging countries"
Language: MATLAB - Size: 196 KB - Last synced at: 6 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
Monster-Moon/l1pm š¦
Learning Multiple Quantiles With Neural Networks
Language: R - Size: 43 KB - Last synced at: 11 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 1
Gklajer/Net-Load-Forecasting
Kaggle competition "Net-Load Forecasting During the "Sobriety" Period"
Language: R - Size: 1.24 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
Gorlevichd/QuantileToolsR
R package for advanced quantile regression methods
Language: R - Size: 16.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
ornscar/mono_sobrev_reg_quantilica
Projeto de Monografia apresentado como requisito parcial para conclusĆ£o do curso de Bacharelado em EstatĆstica pela UFES.
Language: R - Size: 15.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
antononcube/WL-QuantileRegression-paclet
Wolfram Language (aka Mathematica) paclet that provides various Quantile Regression functions.
Language: Mathematica - Size: 8.28 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
gregorkb/QregBB
Block bootstrap methods for quantile regression in time series
Language: R - Size: 70.3 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1
yairst/multi-horizon-quantile-recurrent-forecaster
Language: Jupyter Notebook - Size: 705 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
be-green/fqr
Fast (Approximate) Quantile Regression with Accelerated Gradient Descent
Language: C++ - Size: 241 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
cklugmann/stats_notes
Just a bunch of notes on topics in statistics/machine learning that interest me. Think of it as a not-so-fancy blog.
Language: Jupyter Notebook - Size: 145 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
ZenaPoudel/rqf-demand-forecast
Demand Forecasting with Quantile Regression Forest
Language: Python - Size: 17.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
KwonNayeon/bayesian-paper-reviews
Bayesian analysis paper reviews from grad school
Size: 9.08 MB - Last synced at: 6 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
solar-san/BA-Project
Notes and laboratories from a graduate course in Business Analytics.
Language: HTML - Size: 35.1 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
FatimaUriarte/STATA
Do files employed in my research
Language: Stata - Size: 880 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
stats9/R_Fancy
In this repository, software applications in simulation and visualization for various applications are presented with interesting examples.
Language: HTML - Size: 96.8 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
antononcube/WL-ReliabilityTools-paclet
WL package with different reliability evaluation algorithms.
Language: Mathematica - Size: 1.04 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
RektPunk/l1pm
Learning Multiple Quantiles With Neural Networks with preserving monotonicity among quantiles
Language: R - Size: 15.6 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
afairless/bayesian_quantile_multitask_nn
Mixing, matching, and comparing Bayesian models, quantile regression, and multi-task learning
Language: HTML - Size: 1000 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
ArnauPerich/DisturbanceStormTimeModel
A Disturbance Storm Time (Dst) model that allows to compute the Dst density function conditioned to some geomagetic data. It has been used Recurrent Neural Networks, as well as the Quantile Regression idea.
Language: Jupyter Notebook - Size: 3.95 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
CCaribe9/HQR-WACI
Code and experiments related to the paper: 'Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference'
Language: Python - Size: 68.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
jguerrae/QuantilReg_InflationDebt
This repository contains the quantitative analysis based on quantile regression models that examine the interaction between inflation and public debt
Language: Jupyter Notebook - Size: 5.27 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
kasselhingee/sqreg-diagnostic-plots
Scripts to create diagnostic plots of Stata sqreg fits
Language: Stata - Size: 65.4 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
noleengrima/Dissertation_code_QuantileRegression
Here you can find the code which was used in my dissertation named "Quantile Regression Methods for Modelling Indoor PAH Levels from Lifestyle and Indoor Environment Information".
Language: R - Size: 1.16 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
peiman-m/ACQNP
Adaptive Conditional Quantile Neural Processes - PyTorch
Language: Jupyter Notebook - Size: 3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
monika-kaczan/advanced-econometrics-ii
Project for the 2022/23 Advanced Econometrics II class at Faculty of Economic Sciences, University of Warsaw. In this project we build quantile regression model to analyze variability in valuation of houses' characteristics.
Language: Stata - Size: 836 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
nvalis/Quantile-Regression
Language: Jupyter Notebook - Size: 91.8 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
anvdn/COVID19RetweetPrediction
We carried out thematic clustering and differential prediction of number of retweets with Gradient Boosting and Quantile regression. We also performed text embedding with Bidirectional Encoder Representations (BERT, Google) for deep prediction with TensorFlow
Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
mhoward2718/pinball
The fastest and most accurate methods for quantile regression, now in Python.
Language: Python - Size: 237 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
MasonWilie/PQRFATDSL_Recreation
Recreation of the findings presented in the paper titled "Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning"
Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 1
mlr7/time-series-forecasting-with-gradient-boosted-trees
Forecasting the solar cycle with gradient boosted trees and quantile regression.
Language: Jupyter Notebook - Size: 6.26 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1
she-osprey/IPWK7-CORE
HASS CONSULTING COMPANY - REAL ESTATE: study the factors that affect housing prices using the given information on real estate properties that was collected over the past few months. Later onwards, create a model that would allow the company to accurately predict the sale of prices upon being provided with the predictor variables.
Language: Jupyter Notebook - Size: 5.29 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
mliu-dark-knight/10716
Language: Python - Size: 1.37 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0
yasui-salmon/CQR
censored quantile regression with three-step estimator
Language: R - Size: 325 KB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 1
