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1. Process Program: for example, xxx.py, which is a static program Process: after a program runs, the resources used by code + are called processes. It is the basic unit for the operating system to allocate resources. Not only can multitasking be completed through threads, but also processes 2. Status of the process In work, the number o ...

1. Data consolidation 1.1 import basic library import numpy as np import pandas as pd 1.2 loading data #Load all the data in the data folder and observe the relationship between them compared with the previous original data text_left_up = pd.read_csv("train-left-up.csv") text_left_down = pd.read_csv("train-left-down.csv") text_right_up = p ...

Pandas is an open source, BSD licensed library that must be mastered when starting Python to do data analysis. It provides high-performance, easy-to-use data structures and data analysis tools. The main data structures are Series (one-dimensional data) and DataFrame (two-dimensional data), which are sufficient to deal with most typical use ...

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Original link: http://tecdat.cn/?p=19936 Original source: Tuo end data tribal official accountIn this tutorial, you will learn how to create a neural network model in R.Neural network (or artificial neural network) has the ability to learn through samples. Artificial neural network is an information processing model inspired by biological neuro ...

1 pandas Library Our general alias is pd: import pandas as pd pandas can not only read data from a variety of different file formats, but also have a variety of data processing functions. 1.1 using pandas to read csv files The pandas module provides a read_ csv method, you can directly read the csv file and return a DataFrame object. ...

In financial data analysis or quantitative research, the processing of time series data can not be avoided. Time series refers to the value sequence of a variable measured in time order within a certain time. Common time series data include temperature series that change with time in a day, or stock price series that fluctuate continuously duri ...

In daily data analysis, it is often necessary to divide the data into different groups according to a certain (multiple) field for analysis. For example, in the field of e-commerce, the total sales of the country are divided according to provinces, and the changes of sales in provinces are analyzed. In the field of social networking, users are ...

Apriori algorithm 1, Introduction to Apriori algorithm Apriori algorithm is the first association rule mining algorithm and the most classical algorithm. It uses the iterative method of layer by layer search to find the relationship of itemsets in the database to form rules. The process consists of connection (matrix like operation) and pruni ...