distance-based-learning

Here are 4 public repositories matching this topic...

Orbolato / KNN

Distance-based machine learning and k-nearest neighbors for soil classification from cone penetration test (CPT) data.

machine-learning r-language knn cpt k-nearest-neighbours geotechnical-engineering soil-classification knn-classification soil-mechanics k-nearest-neighbors cone-penetration-test distance-based-learning

Updated Oct 11, 2026
R

thieu1995 / PyLWL

Star

An Open-Source Python framework for Locally Weighted Regression and Classification, built on PyTorch and Scikit-Learn

machine-learning nonparametric-model locally-weighted-regression weighted-loss instance-based-learning adaptive-models locally-weighted-classification distance-based-learning local-approximation bias-free-models sample-weighted-optimization gradient-based-locally-weighted locally-weighted-learning

Updated Jun 5, 2025
Python

rohitb281 / knn-classification-model

Star

Train the model, then predict and evaluate it using K Nearest Neighbors (KNN) using a classified data set

machine-learning scikit-learn python3 supervised-learning classification knn hyperparameter-tuning feature-scaling model-evaluation k-nearest-neighbors instance-based-learning distance-based-learning

Updated Feb 5, 2026
Jupyter Notebook

rohitb281 / k-means-clustering-project

Star

For this project we will attempt to use K-Means Clustering to cluster Universities into to two groups, Private and Public.. The algorithm uses unsupervised learning.

machine-learning clustering scikit-learn pandas python3 data-analysis unsupervised-learning cluster-analysis feature-scaling educational-data k-means-clustering university-data data-segmentation distance-based-learning

Updated Feb 5, 2026
Jupyter Notebook

Add this topic to your repo

To associate your repository with the distance-based-learning topic, visit your repo's landing page and select "manage topics."

Learn more