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Project is about predicting Class Of Beans using Supervised Learning Models

Jupyter Notebook 100.00%
classifier confusion-matrix decision-tree-classifier eda label-encoding lazypredict numpy one-hot-encoding outlier-detection outlier-removal

dry-bean's Introduction

Dry-Bean

Project is about predicting Class Of Beans using Supervised Learning Models

This Repositorie Contain 4 File.

1.Dry Bean.ipynb It is a Jupyter Notebook File Predicted about Class of Bean of the Given Data

2.Dry Bean.pdf It is pdf version of the jupyter notebook file which cannot be edited

3.data.csv It is main file on which operation is being Done

4.mini_proj2.pdf It is a pdf document that describes about the file and what will be our target

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