日拱一卒|数据挖掘006
如果需要以下高清图，可以私信邮箱，另外麻烦点个喜欢啦~
一、基础知识
先学习些基本知识，再踏上Python之旅，基本功很重要呐~
Python Data Science Cheat Sheet
二、Numpy
Numpy是“基石”，是内功心法
Numpy Cheat Sheet
三、Pandas
真 数据分析神器
Pandas Cheat Sheet
四、数据清洗
无论是大数据、数据挖掘、机器学习，亦或是简单的可视化，无一不是建立在乱七八糟的基础上，因此数据清洗是第一步，不然结果是“错进错出”。
关于数据清洗：为什么需要清洗数据
Data Wrangling Cheat Sheet1
Pandas Data Wrangling Cheat Sheet2
五、数据可视化
Matplotlib值得拥有~
Matplotlib Cheat Sheet
六、机器学习
这块不大懂，直接上图啦
Machine Learning Overview
Machine Learning Cheat Sheet1
Machine Learning: Scikit-learn algorithm
This machine learning cheat sheet will help you find the right estimator for the job which is the most difficult part. The flowchart will help you check the documentation and rough guide of each estimator that will help you to know more about the problems and how to solve it.
Machine Learning Cheat Sheet2
MACHINE LEARNING : ALGORITHM CHEAT SHEET
This machine learning cheat sheet from Microsoft Azure will help you choose the appropriate machine learning algorithms for your predictive analytics solution. First, the cheat sheet will asks you about the data nature and then suggests the best algorithm for the job.
MACHINE LEARNING ALGORITHM CHEAT SHEET
TensorFlow
TesorFlow Cheat Sheet
Keras
In 2017, Google’s TensorFlow team decided to support Keras in TensorFlow’s core library. Chollet explained that Keras was conceived to be an interface rather than an end-to-end machine-learning framework. It presents a higher-level, more intuitive set of abstractions that make it easy to configure neural networks regardless of the backend scientific computing library.
Keras Cheat Sheet
神经网络
Neural Networks Cheat Sheet
Neural Networks Graphs Cheat Sheet
七、大数据
Pyspark Cheat Sheet
如果需要以上高清图，可以私信邮箱，另外麻烦点个喜欢啦~
参考资料：
Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data
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