Python data analysis (Basic)

Python data analysis (Basic)

First, install the anaconda:https://www.anaconda.com/download/#windows

Ii. NumPy (Basic package of scientific calculation)

Three, matplotlib (chart)

Iv. SciPy (collection of packages for solving various standard problem domains in scientific calculations)

V. Pandas (Treatment of structured data)

Vi. Sciket-learn (machine learning and decision tree)
1, data mining and machine learning are divided into three steps: Data preprocessing, data modeling, validation

Vii. Keras (Artificial neural network)
The artificial neural network is generally divided into: input layer, hidden layer (Hidden layers), output layer

Install Keras:
1. Open Anaconda Prompt
2, Conda install MinGW Libpython
Error: Condahttperror:http CONNECTION FAILED for URL Reason Description:
Should be repo.continuum.io abroad, domestic access speed is too slow to cause timeouts
Solution:
1, add "Tsinghua Mirror" channel, in Anaconda prompt execution:
Conda Config--add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
Conda Config--add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
Conda Config--add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/
Conda Config--set show_channel_urls Yes
2. Delete the-default line in the configuration file, file path: C:\Users\ User name Xxx\.condarc
3. Pip Install Keras

Python data analysis (Basic)