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GitHub hosts numerous logistic regression implementations, offering varying features and languages for analysis. These repositories provide accessible codebases for understanding, implementing, and experimenting with logistic regression models.

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Logistic-Regression---Documentation-

GitHub hosts numerous logistic regression implementations, offering varying features and languages for analysis. These repositories provide accessible codebases for understanding, implementing, and experimenting with logistic regression models.

What is Gredient decent

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in this document 01 (Logistic-Regression) I have discuss all about why Gredient decent and how to calculate it and learning reate

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Regression vs Classification

  • If you have continues variable to predict for that we are using Regression
  • If you have to predict the categorical variable (like gender, or difficulty of exam) using Classification.

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predict the categorical variable using Regression (predict the categorical variable)

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For More information- Reffer the Document 02 (Logistic-Regression 02)

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P – Probability of having malignant cancer [h(X)]

Cost function of Logistic regression

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GitHub hosts numerous logistic regression implementations, offering varying features and languages for analysis. These repositories provide accessible codebases for understanding, implementing, and experimenting with logistic regression models.

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