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Added Linear Regression file to find linear relation between two related variables
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scripts/Linear Regression/Linear Regression.ipynb
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scripts/Linear Regression/Linear Regression.ipynb
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scripts/Linear Regression/README.md
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scripts/Linear Regression/README.md
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# Linear Regression Model
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A linear regression model used written in python language in Jupyter Notebook to help find linear relation between two variables.
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## Tech Stack 🛠
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- Python
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- Pandas
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- Matplotlib
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- sklearn
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## Features ⚡
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- Find a line that optimally describes the relation between the given data
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- Find slope and intercept of the line to re-plot it anywhere
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## Steps to use 👀
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- Save a data.csv file in the same folder as the project and name it "data.csv" [lowercase]
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- csv file must have only two columns with names col_1 and col_2 where col_1 is feature and col_2 is the target variable.
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PS: Have a look at the example code in the folder which is used to find relation between budget and revenue of the movie
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scripts/Linear Regression/requirements.txt.txt
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scripts/Linear Regression/requirements.txt.txt
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- Python 3.6 or higher
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- Anaconda Installation
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or can be used by uploading it to the online jupyter notebook version
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