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explain This article will not introduce all array functions and will not explain all parameters. For details, please refer to the official documents.Parameters with square brackets [] can be omitted.The output of each small piece of code is written in the comments below. 1, Array creation 1.1 create an array using existing data function ...

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 ...

Data driven analysis practice 8 Lifting model When dealing with growth related issues, a very important key factor is efficiency. First, we need to improve time efficiency, which means rapid conception, practice, learning and iteration; The second is the cost, which can make greater profits under the same budget, time and effort. User segmen ...

1. Feature digitization 1.1 Replace() function import pandas as pd df = pd.DataFrame({"gene_segA": [1, 0, 0, 1, 1, 1, 0, 0, 1, 0], "gene_segB": [1, 0, 1, 0, 1, 1, 0, 0, 1, 0], "hypertension": ["Y", 'N', 'N', 'N', 'N', 'N', 'Y', 'N', 'Y', 'N'], "Gallstones": ['Y', 'N', 'N', 'N', 'Y', 'Y', 'Y', 'N', 'N', 'Y'] }) df df.replace({"N": 0, 'Y': ...

Java basic syntax 1 type conversion In Java, some data types can be converted to each other. There are two cases: automatic type conversion and forced type conversion. 1.1 implicit transformation (understanding) Assign a value or variable representing a small data range to another variable representing a large data range. This conversion mo ...

Loan default risk prediction The project comes from the Kaggle competition. It is required to predict whether the customer's loan will default according to the customer's credit card information, installment information, credit bureau information and so on. Load module and build environment import numpy as np import pandas as pd import matpl ...

Baidu cloud link of the file used in this article: Link: https://pan.baidu.com/s/15-qbrbtRs4frup24Y1i5og Extraction code: pm2c linear prediction Assuming that a set of data conforms to a linear law, we can predict the data that will appear in the future a b c d e f g h .... ax + by + cz = d bx + cy + dz = e cx + dy + ez = f In ...

Official account: Special HouseAuthor: PeterEditor: Peter Hello, I'm Peter~ This will be the last article on DataFrame data filtering, focusing on the use of three pairs of functions: iloc and loc, the most important and frequently used pair of functionsat and iatany and all Important learning materials: https://pandas.pydata.org/pand ...

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. ...