8000
Skip to content
#

knn-regression

Star

Here are 252 public repositories matching this topic...

Language: All
Filter by language
All 252 Jupyter Notebook 178 Python 48 R 5 HTML 4 C++ 2 CSS 2 JavaScript 2 C 1 Java 1 TeX 1
Sort: Most stars
Sort options
Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

MBKraus / Predicting_real_estate_prices_using_scikit-learn

Star 172

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, 10000 Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

real-estate python machine-learning neural-network random-forest lasso xgboost polynomial ensemble-learning ols decision-trees ridge-regression polynomial-regression knn multi-layer-perceptron amsterdam predicting-housing-prices lasso-regression mlp-regressor knn-regression
  • Updated Apr 9, 2019
  • Python

Sarvandani / Machine_learning-deep_learning_11_algorithms-of-regression

Star 11

sklearn, tensorflow, random-forest, adaboost, decision-tress, polynomial-regression, g-boost, knn, extratrees, svr, ridge, bayesian-ridge

machine-learning kernel deep-learning random-forest sklearn bayesian adaboost decision-trees polynomial-regression keras-tensorflow gradient-boosting knn-regression regression-algorithms extratrees svr-regression-prediction
  • Updated Jul 13, 2023
  • Jupyter Notebook

salihkilicli / Python-Data-Science-and-Machine-Learning-Bootcamp-Projects

Star 8

My solutions to projects given in the Udemy course: Python for Data Science and Machine Learning Bootcamp by Jose Portilla

machine-learning spark deep-learning random-forest tensorflow numpy svm linear-regression scikit-learn plotly keras pandas seaborn pyspark neural-networks logistic-regression matplotlib decision-trees kmeans-clustering knn-regression
  • Updated Oct 14, 2020
  • Jupyter Notebook

mukulsinghal001 / USA-Housing-Price-Prediction

Star 6

In this project I have implemented 14 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.

linear-regression cross-validation regression hyperparameter-optimization knn-regression xgboost-algorithm decision-tree-regression regression-algorithms regression-analysis linearregression regression-model
  • Updated Feb 14, 2021
  • Jupyter Notebook

ankitAMD / NYTaxi_XG_Boost_Challenge-kaggle_challenge

Star 6

I'm attempting the NYC Taxi Duration prediction Kaggle challenge. I'll by using a combination of Pandas, Matplotlib, and XGBoost as python libraries to help me understand and analyze the taxi dataset that Kaggle provides. The goal will be to build a predictive model for taxi duration time. I'll also be using Google Colab as my jupyter notebook.…

python machine-learning deep-learning random-forest numpy linear-regression scikit-learn pandas python3 kaggle-competition xgboost matplotlib feature-engineering knn-regression xgboost-model nyc-taxi-dataset fastest-routes visualization-image google-colab remote-server
  • Updated Sep 21, 2018
  • Jupyter Notebook

Preetirai-tech / Bike-Sharing-Demand-Prediction

Star 4

This project aims to develop a machine learning model to predict bike-sharing demand based on various factors such as weather conditions, time of day, and historical usage patterns. The dataset used for this project consists of 8760 records and 14 attributes.

python random-forest lightgbm adaboost ridge-regression hyperparameter-tuning lasso-regression knn-regression decision-tree-regression gridsearchcv xgboost-regression svm-regressor maachine-learning randomsearch-cv elasticnet-regression
  • Updated Jun 15, 2023
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the knn-regression topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

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

Learn more

0