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This project focus on predicting the gold value by using the several aspect given in the dataset it uses the Random Forest Regression to predict the values from dataset

Python 0.99% Jupyter Notebook 99.01%
csv data data-visualization machine-learning matplotlib-pyplot numpy pandas random-forest seaborn sklearn

gold_price-_prediction_random_forest_regression's Introduction

Hi ๐Ÿ‘‹, I'm Japanjot Singh

Passionate data scientist with expertise in statistical analysis, machine learning, and data visualization. Dedicated to leveraging data-driven insights.

  • ๐Ÿ‘จโ€๐Ÿ’ป All of my projects are available at https://sjapanjots.netlify.app/

  • ๐Ÿ“ซ How to reach me [email protected]

  • โšก Fun fact Fun Fact: My coding playlist is a mix of algorithms and beats, creating a unique symphony of productivity!

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japanjot singh ijaspvt

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