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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.
https://github.com/msikorski93/diamond-price-modelling-based-on-their-attributes
adaboost-regressor exploratory-data-analysis knearest-neighbor-algorithm polynomial-regression random-forest regression-analysis
Last synced: 1 day ago
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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.
- Host: GitHub
- URL: https://github.com/msikorski93/diamond-price-modelling-based-on-their-attributes
- Owner: msikorski93
- Created: 2022-06-29T21:52:04.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-06-29T22:16:56.000Z (over 2 years ago)
- Last Synced: 2024-11-11T09:09:38.578Z (2 months ago)
- Topics: adaboost-regressor, exploratory-data-analysis, knearest-neighbor-algorithm, polynomial-regression, random-forest, regression-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 8.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0