第25月第8天 100-Days-Of-ML-Code
1.100-Days-Of-ML-Code
https://github.com/Avik-Jain/100-Days-Of-ML-Code
https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months
2.practical-machine-learning-with-python
https://github.com/dipanjanS/practical-machine-learning-with-python
Use Keras 2.1.2
https://blog.csdn.net/googler_offer/article/details/81607129
3.ud120
Intro to ML (Udacity) https://eu.udacity.com/course/intro-to-machine-learning--ud120
sklearn 0.20.0 代码运行问题
/tools/email_preprocess.py
from sklearn import cross_validation
改为 from sklearn.model_selection import train_test_split
4.ud501
Lesson outline
In this lesson you will learn how to read data, select subsets of it and generate useful plots, using pandas and matplotlib. The documentation links below are for your reference.
- Read stock data from CSV files:
- Select desired rows and columns:
- Visualize data by generating plots:
Lesson outline
Here's an overview of what you'll learn to do in this lesson. Documentation links are for reference.
Read in multiple stocks:
- Create an empty pandas.DataFrame with dates as index: pandas.date_range
- Drop missing date rows: pandas.DataFrame.dropna
- Incrementally join data for each stock: pandas.DataFrame.join
Manipulate stock data:
- Index and select data by row (dates) and column (symbols)
- Plot multiple stocks at once (still using pandas.DataFrame.plot)
- Carry out arithmetic operations across stocks
