This task is divided in two parts.
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first is dedicated to studying the theory of Linear Regression based on this Habr article;
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second part is to be done oneself and be alike the code of the first part, but there is different dataset to be processed.
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Study the article
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Repeat all stages of work in your own notepad (including formulas (text cells) and graphs)
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Accompany code with comments
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Come up with your own data set alike the article
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Implement the entire process described in the article with your own data set
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Check your result coefficints using the sklearn library (LinearRegression)
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Write conclusions about the work done