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Commits on Sep 5, 2022

• final push

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Commits on Sep 4, 2022

• addedexplanation

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Commits on Jun 1, 2022

• logistic regression scratch

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Commits on Mar 28, 2022

• implement AUC and ROC curve

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• implement AUC and ROC curve

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Commits on Mar 23, 2022

• implement K-means and detail explanation

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• implement K-means

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Commits on Mar 8, 2022

• implement entropy and information gain through function

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• implement entropy and information gain dynamically

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Commits on Mar 7, 2022

• implement entropy and information from scratch

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Commits on Mar 4, 2022

• add sklearn implemtation and detail explanation of ensemble andits types

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• add description about ensemble learning, its types and random forest

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Commits on Mar 3, 2022

• implement using cv and gridsearch

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• added more codes

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• Decision Tree mannual scratch

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Commits on Feb 26, 2022

• complete implementation of decision tree

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• add detail description

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Commits on Feb 25, 2022

• import all necessary library

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Commits on Feb 16, 2022

• add description

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• add sklearn implementation code

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Commits on Jan 3, 2022

• implement regularization using sklearn and visualizing result

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• implement regularization using sklearn

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• implement regularization using sklearn

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Commits on Dec 29, 2021

• Implement polynomial regression

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Commits on Dec 26, 2021

• Vectorization and its importance.

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Commits on Dec 25, 2021

• scratch implement of Batch GradientDescent for multiple features

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• scratch implementation of gradient descent for simple LR

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Commits on Dec 24, 2021

• implement Gradient Descent from scratch using OOP

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• Scratch implementation of gradient descent

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• Scratch implementation of gradient descent

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• Scratch implementation of gradient descent

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Commits on Dec 23, 2021

• implement multi LinearRegression from SKlearn

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• implement regression model evaluation matrics

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Commits on Dec 5, 2021

• simple linear regression and different loss/error function

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Commits on Dec 4, 2021

• simple linear regression scratch using OLS

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