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NumPy is not only the most used third-party library in Python, but also the basic library of data science such as SciPy and Pandas. The data structure it provides is "more advanced and efficient" than Python itself. It can be said that the data structure provided by NumPy is the basis of Python data analysis. In NumPy, we need to f ...

In this article, we will see how to deal with the regression problem and how to improve the accuracy of machine learning model by using the concepts of feature transformation, feature engineering, clustering, enhancement algorithm and so on. Data science is an iterative process. Only through repeated experiments can we get the most suitable mo ...

catalogue 1 data analysis function library 1.1 basic data analysis 1.2 functions for random data analysis 1.3 functions for correlation analysis 2. Polynomial function library 2.1} four operations of polynomials 2.2 derivation, root and evaluation of polynomials 2.3 polynomial fitting 2.4 solutions of linear differential equations 3. ...

Tip: after the article is written, the directory can be generated automatically. Please refer to the help document on the right for how to generate it preface Scrapy crawler's website image crawling Scripy crawls the link to the website's training pictures Tip: the following is the main content of this article. The following cases c ...

Hello, everyone. I've shared many articles about Pandas before. Today I'll share five small and beautiful practical cases of Pandas. My favorite partners, remember to collect, share and praise. The content is mainly divided into: How to simulate data by yourself Multiple data processing methods Data statistics and visualization User RFM m ...

Hello everyone, I always believe that good ideas are obtained through ideological exchange and collision. Recently, a wechat group netizen lamented that pandas data is too monotonous. As a result, another one gave such a beautiful solution. Let's enjoy it together. You can join our technical exchange group at the end of the article. We know th ...

catalogue 1. Line chart Style: Set font Axis setting Use of marker and annotate Sketchpad settings Draw multiple graphs 2. Bar chart Vertical bar chart Horizontal bar chart Grouped bar chart Stacked bar chart 3. Histogram 4. Scatter diagram 5. Pie chart 6. Box diagram 7. Radar chart Subgraph creation Dependencies used: impo ...

This article is the third of my study notes on reverse cracking shelling in the great God forum. It is my review and summary of what I have learned in the past. There may be fallacies. You are welcome to point out. Notes will be released one after another, hoping to help Mengxin who wants to get started and make progress together 32-bit gener ...

Time series analysis - missing value processing This article is based on the article of Zhihu boss Cleaning data Data cleaning is an important part of data analysis, and time series data is no exception. This section will introduce the data cleaning methods for time series data in detail. Missing value processingChange time and frequencySmo ...

1. Preface Hello, everyone In the daily process of dealing with Python, it is inevitable to involve data reading and writing business. For example, when doing crawler, you need to store the crawled data locally first, and then do the next step of processing; When doing data visualization analysis, you need to read the data from the hard disk ...