Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists tagged with adaboost-regressor
A curated list of projects in awesome lists tagged with adaboost-regressor .
https://github.com/luluw8071/laptop-price-prediction
Laptop Price Prediction | A collection of machine learning models for predicting laptop prices
adaboost-regressor decision-tree-regression ensemble-learning extra-tree-regressor gradient-boosting-regressor knn-regression laptop-price-prediction lasso-regression machine-learning multiple-linear-regression python random-forest-regression ridge-regression sckiit-learn stacking-ensemble streamlit svm-regressor voting-regressor xgboost-regression
Last synced: 12 Nov 2024
https://github.com/bala-1409/price-prediction-for-used-cars-datascience-project
This project uses machine learning to predict the price of a used car. The model is trained on a dataset of historical car sales data, and it can then be used to predict the price of a car based on its features.
adaboost-regressor data-science kaggle-dataset machine-learning price-prediction regression regression-model supervised-learning used-cars-price-prediction
Last synced: 29 Nov 2024
https://github.com/msikorski93/diamond-price-modelling-based-on-their-attributes
The purpose of this notebook is to develop an automated function to predict the price of a diamond based on its given features (cut, color, dimensions, etc.). We will create a machine learning model which can estimate these values. We need to find continuous data, so we will perform a regression task. We will use supervised learning to find the prices.
adaboost-regressor exploratory-data-analysis knearest-neighbor-algorithm polynomial-regression random-forest regression-analysis
Last synced: 11 Nov 2024
https://github.com/akash1070/predicting-compressive-strength-of-concrete-model
Predicting Compressive Strength of Concrete
adaboost-regressor bagging-regressor decisiontreeregressor kneighborsregressor python3 svm-model xgboost
Last synced: 01 Dec 2024