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TabNet released by Google is a neural network for tabular data. It realizes instance wise feature selection through sequential attention mechanism similar to additive model, and realizes self-supervised learning through encoder decoder framework.Table data is the most commonly used data type in daily life. For example, credit card fraud detecti ...

Experimental trimer analysis 1, Experimental purpose This experimental course is a professional course for students majoring in computer, artificial intelligence and software engineering. Through experiments, it helps students better master the concepts, technologies, principles and applications related to data mining and machine learning; Imp ...

Pandas document learning 0. Introduction What is Pandas? Pandas is a powerful tool set for analyzing structured data; Its use is based on Numpy (providing high-performance matrix operation); It is used for data mining and data analysis, and also provides data cleaning function. One of the sharp tools: DataFrame DataFrame is a tabular data ...

Next, I will introduce how to crawl and save the top 250 web page data of Douban step by step. First, we need the foundation of python: defining variables, lists, dictionaries, tuples, if statements, while statements, etc. Then use to understand the basic framework (principle) of the crawler: the crawler is to imitate the browser to access th ...

preface Hi! hello everyone! Recently, most of the hot lists on CSDN are Python crawler articles. It can be seen that everyone's enthusiasm for Python is still very high, so I code this article overnight these days in combination with some tutorials. If you want technical exchange, you can go to my home page and have technical exchange together ...

Tide information analysis (1) Climb cninfo Vanke A website to download pdf (2) Filter specified fields from pdf (3) Visual analysis using python preface Bloggers need to crawl the pdf of the annual report of the specified company in the tide information, download it, filter the specified fields of the pdf, and then conduct visual analys ...

Welcome to focus on Python, data analysis, data mining and fun tools! I believe many people have heard or used FaceBook Prophet to solve time series problems. A few days ago, I shared this article: That is great! FaceBook open source, the first timing king in the whole network, Kats! Loved by many people! Some of my friends wrote to me priva ...

Hands on data analysis Chapter 2: data cleaning and feature processing import numpy as np import pandas as pd #Load data train csv df = pd.read.csv('train.csv') df.head(10) Brief description of data cleaning The data we get is usually unclean. The so-called unclean means that there are missing values and some abnormal points in the data, w ...

Tianchi competition -- visual analysis of user emotion catalogue Tianchi competition -- visual analysis of user emotion preface 1, Read the data, check the basic situation and preprocess the data Import related Library Read data, basic analysis data Null value processing, data mapping Word segmentation analysis of comments 2, Word ...

Chapter II Section I data loading and preliminary observation 1.1 loading data 1.1.1 task 1: import numpy and pandas import numpy as np import pandas as pd 1.1.2 task 2: load data (1) Load data using relative paths #Import relative path data df=pd.read_csv('train.csv') (2) Load data using absolute path #Absolute path import data ...