项目作者： PBiedenkopf

项目描述：
Gradient Descent with normalization suitable for large scale linear regressions.

高级语言： Python

项目主页：

项目地址: git://github.com/PBiedenkopf/ML-Linear-Regression-using-Gradient-Descent.git

创建时间： 2020-12-11T23:29:10Z
项目社区：https://github.com/PBiedenkopf/ML-Linear-Regression-using-Gradient-Descent
开源协议：
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Gradient descent for linear regression

This implementation of linear regression uses gradien descent for minimization of the cost function. Optionally polynomial features can be added with a regularized cost function.

Datasets

The included datasets in the examples are open datasets taken from kaggle.
To use them in linear regression some parameters of the datasets are modified from string to belonging numerous values.

Fish market dataset

Target is to predict the weight of a fish with known body measures and species. Published under
GPL 2 license.

Parameters:

Species (1-Bream, 2-Roach, 3-Whitefish, 4-Parkki, 5-Perch, 6-Pike, 7-Smelt)
Weight
Length 1
Length 2
Length 3
Height
Width

License

MIT License

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