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Copy file name to clipboardExpand all lines: notebooks/04_Linear_Regression.ipynb
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"* **Disadvantages:**\n",
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" * The model will perform well only when the data is linearly separable (for classification).\n",
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" * Usually not used for classification and only for regression.\n",
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"* **Miscellaneous:** You can also use linear regression for binary classification tasks where if the predicted continuous value is above a threshold, it belongs to a certain class. But we will cover better techniques for classification is future lessons and will focus on linear regression for continuos regression tasks only.\n"
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"* **Miscellaneous:** You can also use linear regression for binary classification tasks where if the predicted continuous value is above a threshold, it belongs to a certain class. But we will cover better techniques for classification in future lessons and will focus on linear regression for continuos regression tasks only.\n"
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