XGBoost actual combat notes
In recent projects, XGBoost model is used as the Baseline for comparison. This article records some learning resources and some problems and solutions encountered in the process of writing code.
1. Learning resources
Original XGBoost paperInterpretation of XGBoost and its parametersXGBoost parameter adjustment met ...
Posted by wikedawsum on Thu, 14 Apr 2022 20:57:34 +0300
On single pass algorithm
Official account: ChallengeHub
Single pass algorithm, also known as single channel method or single pass method, is a classical method of streaming data clustering. For the data streams arriving in turn, the method processes one data at a time according to the input order. According to the matching degree between the ...
Posted by river001 on Thu, 14 Apr 2022 16:28:04 +0300
Real time face recognition
There are three steps in coding:
Step 1: collect face data and face detection
Step 2: training face recognition model
Step 3: face recognition reasoning
1, Installation environment
This paper adopts the combination of Python + opencv + opencv contrib, which can be transplanted to Linux s ...
Posted by lookee on Tue, 12 Apr 2022 03:06:16 +0300
he is a social animal. He is idle and has no practical skills. He likes to play special dishes. He is learning from Professor Wu Enda's machine learning. At the same time, he is also reading Guo Maozu's basic course of machine learning. He makes the pictures in python, writes them casually, notes them casually, ...
Posted by MaDSEGA on Mon, 11 Apr 2022 18:13:21 +0300
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
Tip: the following is the main content of this article. The following cases can be used for reference
1, windows installation
AutoGluon official website github
pip3 install autogluo ...
Posted by grimmier on Mon, 11 Apr 2022 13:25:38 +0300
1, Back propagation overview
Back propagation can be said to be the most important algorithm in the history of neural networks - without effective back propagation, it is impossible to train the deep learning network to the depth we see today. Back propagation can be considered as the cornerstone of modern neural networks and deep learning.
The wave of informatization and Internet is impacting every corner of society, and aviation "digitization" has been paid more and more attention. It has been known as "oil and raw materials" in the new era and has become a new energy and driving force for the future development of enterprises. At this stage, the development ...
Posted by br0ken on Mon, 11 Apr 2022 05:33:07 +0300
In the process of learning sklearn (machine learning), the model principle is boring. In addition, most model training processes are invisible, which makes many small partners flinch. Of course, many scholars try to visualize the model learning and prediction process in various ways, but most of them are complex and unsightly.
This article wil ...
Posted by jwer78 on Sun, 10 Apr 2022 04:09:12 +0300
The content of this section is somewhat abstract, and you may not understand it in place or make some mistakes. Please refer to it critically
It is divided into encoder and decoder, as shown in the figure below. Each part can use CNN, RNN, LSTM and other models. Input 2 is optional for different situations. The model is widely used in t ...
Posted by gentusmaximus on Fri, 08 Apr 2022 05:43:49 +0300
Kaggle series - Russia property price forecast top 1% (22 / 3270) scheme summary
Originality to Great official account
Join this immersive learning together. The shared scheme basically covers the basic process of structured data competition: data analysis, data preprocessing, feature engineering, model training and model fusion. You can ...
Posted by Bourgeois on Wed, 06 Apr 2022 01:34:43 +0300