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Introduction to sklearn -- implementation of regression decision tree in sklearn_ Example demonstration 1 1. Introduction to regression tree Almost all parameters in as like as two peas are categorization. The parameters of the regression tree function are as follows: class sklearn.tree.DecisionTreeRegressor (criterion='mse', splitter='best' ...

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 ...

preface Oh, it was a sunny afternoon. As a master of fishing in troubled waters, I accidentally found such an article. Write Spring Festival couplets in Python: express the most sincere blessings and best wishes This is not hitting my gun. Anyway, I'm idle. It's better to do something. So I happily drank a cup of tea Go look look. Good g ...

[this article is participating in the prize solicitation of "embracing open source | Taosi data TDengine] https://marketing.csdn.net/p/0ada836ca30caa924b9baae0fd33857c catalogue Picture code project introduction and problems TDengine exploration feasibility study Installation and use of TDengine Source installation docker usage Mai ...

This note is based on Small mound teaching video The notes are detailed and not boring. They are recommended to students who want to learn target detection. The following personal notes are for your reference. If there are errors, please correct them! Target detection: location + Category Face detection: face target Text detection: text ta ...

Creation of super large data set class Previously, we only touched on data sets that can store all data in memory. The data set classes corresponding to these data sets load all data into memory when creating objects. However, if the data set is super large, it is difficult for us to have enough memory to store all the data completely. Therefo ...

The position of yolo Series in the field of target detection goes without saying. There is a code for training yolov5 implemented by pytorch on github. This paper will use its own data to train a yolov5 model. Reference code address https://github.com/ultralytics/yolov5/tags Note that here we select v1.0 under tags 0 version for training, d ...

In fact, most of the progress in image classification can be attributed to the improvement of training process, such as the increase of data and the change of optimization methods. However, most improvements are not described in detail. Therefore, the authors test and implement these improved methods in this paper, and evaluate the impact of th ...

PaddleDetection introduce PaddleDetection is an end to end object detection development kit based on PaddlePaddle, which is designed to help developers provide help in the whole development of training models, optimizing performance and reasoning speed, and deploying models. Paddedetection provides various object detection architectures in mo ...

So far, we have only processed images. We have established various image classification, detection and segmentation models. We can even generate new images (noise) out of thin air. But the image is still. There is no motion in the still image. Real happiness comes from exercise. That's how video works. In fact, video is not much more complex t ...