[Python] use kfold in sklearn to realize cross validation in the model
In the previous article, the data set is divided into 37 points in order, which will lead to inaccurate results. Therefore, this paper uses the kfold method in sklearn to realize cross validation, so as to make the results more accurate
Last article ----- > Python post processing data format run model (pycruise) - verify data validity
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Added by POGRAN on Sat, 12 Feb 2022 18:52:26 +0200
Unit 2 learn the second basic theorem of calculus with python
The content of this article comes from learning MIT open course: univariate calculus - the second basic theorem of calculus - Netease open course
1, In reverse, FTC1
FTC1: if F'(x) = f(x),
On the contrary:
Use f to understand F and f '
The information of F 'can be derived from the information of F
1. Compare FTC1 and mean value theorem ...
Added by anthonyfellows on Sat, 12 Feb 2022 15:52:27 +0200
[machine learning] WGAN theory and code analysis based on pytoch
catalogue
1. There is a problem with the original GAN
2 WGAN principle
3 code understanding
GitHub source code
Reference article: Amazing Wasserstein GAN - Zhihu (zhihu.com)
1. There is a problem with the original GAN
In practical training, GAN has some problems, such as difficult training, the loss of generator and discriminator can no ...
Added by kristo5747 on Sat, 12 Feb 2022 15:40:29 +0200
(BDCI-CCF) taxi invoice identification
Reference article:
Baidu AI strategy: Taxi ticket identification_ Can I waste my blog - CSDN blog (complete python source code attached) entry case based on tensorflow and opencv_ Invoice identification I: positioning of key areas_ Xiaobai comes to move - CSDN blog_ python invoice identification
Note: thanks to the teammates who completed the ...
Added by neorunner on Sat, 12 Feb 2022 12:47:01 +0200
Integrated learning case 2 (steam volume prediction)
Background introduction
The basic principle of thermal power generation is: when the fuel is burned, it heats water to generate steam, the steam pressure drives the steam turbine to rotate, and then the steam turbine drives the generator to rotate to generate electric energy. In this series of energy conversion, the core affecting the power ge ...
Added by dgrinberg on Fri, 11 Feb 2022 23:02:01 +0200
Preprocessing of time series data
Time series data can be seen everywhere. In order to analyze time series, we must preprocess the data first. Time series preprocessing technology has a significant impact on the accuracy of data modeling.In this article, we will mainly discuss the following points:Definition and importance of time series data.Preprocessing steps of time series ...
Added by gillypogi on Fri, 11 Feb 2022 17:10:19 +0200
Meisai 8: simulated annealing algorithm, genetic algorithm, particle swarm optimization algorithm (intelligent algorithm)
catalogue
First, Simulated annealing algorithm (SA).
1. Basic theory of SA
2.SA solves the maximum value of the function
3.SA toolbox
2, Genetic algorithm (GA)
1. Theoretical basis of GA
2.GA solves the maximum value of function
3.GA toolbox
3, Particle swarm optimization (PSO)
1. Knowledge of PSO algorithm
2.PSO algorithm design
3. ...
Added by justphpdev on Fri, 11 Feb 2022 11:54:03 +0200
Python digital analog notes Sklearn sample cluster analysis
1. Classification of classification
Classification of classification? Yes, there are different kinds of classification, and it is often confused in the fields of mathematical modeling and machine learning.
First of all, let's talk about Supervised learning and Unsupervised learning. Does it mean that there are no teachers and Discipline Inspe ...
Added by semlabs on Fri, 11 Feb 2022 09:33:14 +0200
Quantitative technology of data Jun - Part 1 coming children's shoes
Children's shoes interested in quantitative techniques, especially the application of big data and artificial intelligence in quantification, can pay attention to my official account.
datahomex:
Recently, the circle of friends is full of counting money. Before, it was all about money color change. Now it shows that you are non-human with ...
Added by Sj0wKOoMel on Fri, 11 Feb 2022 08:50:52 +0200
8 Python libraries that can improve the efficiency of data science and save valuable time
In data science, you may waste a lot of time coding and waiting for the computer to run something. So I chose some Python libraries that can help you save valuable time.1,OptunaOptuna is an open source hyperparametric optimization framework, which can automatically find the best hyperparameters for machine learning models.The most basic (and po ...
Added by Horatiu on Fri, 11 Feb 2022 08:29:27 +0200