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huber-loss-regression

Here are 9 public repositories matching this topic...

johon-lituobang / REDS_Mean

Robust estimations from distribution structures: Mean.

robust robust-optimization median robust-pca robustness huber-loss-regression robust-regresssion semiparametric-estimation robust-estimation semiparametric robust-statistics semiparametric-models unimodal winsorized-mean trimmed-mean median-of-means hodges-lehmann-estimator l-estimator

Updated Mar 29, 2024
R

CY-dev / hqreg

Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net

cran machine-learning-algorithms lasso elastic-net high-dimensional quantile-regression huber-loss-regression regularization-paths

Updated Nov 9, 2024
C

p3i0t / robust_regression_with_huber_loss

Simple 1d robust regression with huber loss in the case of anomalies / outliers

huber-loss-regression robust-regression

Updated Jan 5, 2020
Python

gantz-thomas-gantz / BachelorThesisMathematics

Least Squares and Huber regression via CQPs

optimization heidelberg-university convex-optimization least-square-regression huber-loss-regression quadratic-optimization

Updated Jul 31, 2023
Python

LinuzJ / ml-energy-prices

Predicting energy prices based on weather trends using simple regression models.

machine-learning energy huber-loss-regression

Updated Mar 31, 2022
Jupyter Notebook

Emmanuelprz1400 / Linear-Regression

Project where the Linear Regression algorithm is used

linear-regression huber-loss-regression robust-regresssion onehot-encoding

Updated Apr 2, 2025
Jupyter Notebook

HrithikRai / CompleteRegressionOverview

Coded examples of Different types of Regression with Visualization.

python machine-learning linear-regression regression pandas seaborn ridge-regression regression-models lasso-regression huber-loss-regression

Updated Jun 19, 2018
Python

mmarouen / SVM_Framework

Support vector machines flexible framework

kernel svm classification regularization support-vector-machines softmax-regression hilbert-spaces primal-dual huber-loss-regression svm-framework

Updated Dec 18, 2017
R

ljubogdan / solar-cycle-lstm

This project predicts sunspot activity using an LSTM model for time series data. Built with TensorFlow and Keras, it uses Huber loss for outlier handling and MAE for performance evaluation. The dataset, sourced from Kaggle or SIDC, spans over 270 years of monthly sunspot data.

tensorflow numpy machine scikit-learn keras pandas seaborn kaggle lstm solar matplotlib huber-loss-regression sunspots time-ser conv1d

Updated May 30, 2025
Jupyter Notebook

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