Skip to content
#

kneighborsregressor

Here are 19 public repositories matching this topic...

Diamond Price Predictor - Web Application: Predict diamond prices using various regression models: Linear Regression, Lasso, Ridge, ElasticNet, Decision Tree Regressor, Random Forest Regressor, and KNeighbors Regressor. The chosen Random Forest Regressor, with a remarkable accuracy of 97%, is deployed in a user-friendly Flask app

  • Updated Jan 18, 2024
  • Jupyter Notebook

This repo hosts an end-to-end machine learning project designed to cover the full lifecycle of a data science initiative. The project encompasses a comprehensive approach including data Ingestion, preprocessing, exploratory data analysis (EDA), feature engineering, model training and evaluation, hyperparameter tuning, and cloud deployment.

  • Updated Feb 28, 2024
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the kneighborsregressor 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 kneighborsregressor topic, visit your repo's landing page and select "manage topics."

Learn more