1.6 python (machine learning)

1. Machine learning step (254: 45)

(1) import the data - csv file

(2) clean the data - delete duplicate, incomplete data

（3）split the data into training/ test sets 

(4) create a model - a decision tree, neural network,

（5）train the model

（6）make predictions

（7）evaluate and improve

 

2. Common library

Numpy - provides multi-dimensional arrays

Pandas - Data Analysis

MatPlotLib - two-dimensional graphics library

Scikit-learn - provides a common library of algorithms, such as decision trees, neural networks

3.Jupyter

Cell Green - Edit mode

Blue cells - Command Mode

hot key 

　　　　h - KeyTips

　　　　b - a cell into the lower

　　　　a - inserting a cell above

　　　　esc - switching mode

　　　　Double-click the d - delete cells

　　　　Ctrl + / - turn comments