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machine_learning/linear_regression.py

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predictive analysis. The idea is pretty simple: we have a dataset and we have
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features associated with it. Features should be chosen very cautiously
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as they determine how much our model will be able to make future predictions.
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We try to set these features weights, over many iterations, so that they best
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We try to set the weight of these features, over many iterations, so that they best
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fit our dataset. In this particular code, I had used a CSGO dataset (ADR vs
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Rating). We try to best fit a line through dataset and estimate the parameters.
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"""

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