GitHub - punit443/Data: Task: Prediction using Supervised ML - Predicting the percentage of a student based on the no. of hours studied using a simple linear regression model. Dataset available at http://bit.ly/w-data. Tools used: Python, Jupyter Notebook

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Prediction using Supervised ML (TSF #GRIP_Nov2022).ipynb		Prediction using Supervised ML (TSF #GRIP_Nov2022).ipynb
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prediction-using-supervised-ML-task1-TSF
This task is a part of my internship for the Graduate Rotational Internship Program(GRIP) offered by The Sparks Foundation. Task: Prediction using Supervised ML - Predicting the percentage of a student based on the no. of hours studied using simple linear regression model. Dataset available at http://bit.ly/w-data. Tools used: Python, Jupyter Notebook

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Task: Prediction using Supervised ML - Predicting the percentage of a student based on the no. of hours studied using a simple linear regression model. Dataset available at http://bit.ly/w-data. Tools used: Python, Jupyter Notebook

python data-science gripnov22

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