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项目作者： abdullah1107

项目描述 ：
Basic Machine Learning Model with python (sources: udemy)
高级语言： Jupyter Notebook
项目地址: git://github.com/abdullah1107/Machine-Learning.git
创建时间： 2019-01-27T18:16:33Z
项目社区：https://github.com/abdullah1107/Machine-Learning
开源协议：
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Machine Learning

Data preprocessing:

In this step make the data for operation. First read the data from 

  1. Data.csv

file then we configure the messing data then encoding the independent and dependent variable
y = f(X)
Also Learn @contactsunny/why-do-we-need-feature-scaling-in-machine-learning-and-how-to-do-it-using-scikit-learn-d8314206fe73/">Feature Scaling

If you have problem in Loading (.ipynb) file or Jupyter Notebook file Then Copy and Paste the (URL) to Given Website link
http://nbviewer.jupyter.org/

Documentation: https://lazyprogrammer.me

Regression-Pros-Cons_1647580981452.pdf
Regularization_1647580981492.pdf
Classification-Pros-Cons_1647580981651.pdf
Clustering-Pros-Cons_1647580981892.pdf
Classification-Pros-Cons_1647580981651.pdf
Clustering-Pros-Cons_1647580981892.pdf
Regression-Pros-Cons_1647070531367.pdf
Regularization_1647070531401.pdf
Classification-Pros-Cons_1647070531427.pdf
Clustering-Pros-Cons_1647070531525.pdf