项目作者: Magho

项目描述 :
Ridge Regression (gradient descent)
高级语言: Jupyter Notebook
项目地址: git://github.com/Magho/Ridge-regression.git
创建时间: 2018-09-22T17:23:07Z
项目社区:https://github.com/Magho/Ridge-regression

开源协议:MIT License

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Poject Description

Ridge Regression (gradient descent)

Goals

  • Convert an SFrame into a Numpy array.
  • Write a Numpy function to compute the derivative of the regression weights with respect to a single feature.
  • Write gradient descent function to compute the regression weights given an initial weight vector, step size, tolerance, and L2 penalty.

Packages used

  • graphlab

Used data set

kc_house_data.gl

Algorithms used :

  • Ridge Regression.
  • gradient descent.