## Principal Component Regression Analysis Practical Tutorial

This article introduces Principal Components Regression and demonstrates its implementation process through examples. Given p predictors and response variables, multiple linear regression uses a method such as least squares to obtain the smallest sum of squared errors (RSS): RSS = Σ ...

Posted by quercus on Sun, 15 May 2022 00:24:16 +0300

## Alink ramble: cluster evaluation of source code analysis

Alink ramble (22): cluster evaluation of source code analysis 0x00 summary Alink is a new generation of machine learning algorithm platform developed by Alibaba based on Flink, a real-time computing engine. It is the first machine learning platform in the industry to support batch algorithm and streaming algorithm at the same time. This a ...

Posted by chenci on Sat, 14 May 2022 16:31:35 +0300

## Preliminary study on ridge regression and LASSO regression (implemented in python)

As a rookie who has studied artificial neural network, I just heard about ridge regression estimation and LASSO estimation two days ago, and the statistics teacher also assigned homework. However, I didn't understand it very well and wrote it in Python. I don't know whether it is correct or not. Please do not hesitate to give advice where it is ...

Posted by LostKID on Sat, 14 May 2022 08:13:32 +0300

## Machine learning notes 01_matplotlib drawing

Import required libraries import matplotlib.pyplot as plt import numpy as np from jupyterthemes import jtplot jtplot.style(grid=False) Establish xy correspondence x = np.linspace(-2, np.pi) y1 = np.sin(x) y2 = np.cos(x) plot() matplotlib. pyplot. Detailed explanation of plot () parameters https://matplotlib.org/api/pyplot_summary.html # ...

Posted by thallium6 on Sat, 14 May 2022 06:49:55 +0300

## Machine learning -- kMeans clustering

Related concepts Unsupervised learning Unsupervised learning is machine learning to learn the statistical law or internal structure of data from unlabeled data, mainly including clustering, dimension reduction and probability estimation. Unsupervised learning can be used for data analysis or pre-processing of supervised learning. clustering ...

Posted by jamkelvl on Fri, 13 May 2022 02:19:17 +0300

## [deep learning experiment] the second time: analysis and prediction of influencing factors of fiscal revenue

Relevant knowledge Set variable X ( 0 ) = { X ( ...

Posted by Alecdude on Fri, 13 May 2022 00:36:23 +0300

## The first step in building an autonomous vehicle: 3D object tracking and sensor fusion

Some express companies have begun to pilot the delivery of express by UAV or unmanned vehicle; Some automobile brands are developing vehicles that can drive independently and have achieved certain results; Even some consumer electronic devices have begun to be equipped with laser positioning radars like LiDAR. The legendary future life seems to ...

Posted by m0rpheu5 on Thu, 12 May 2022 00:50:09 +0300

## Machine learning python -- univariate linear regression model (Wu Enda's homework)

I First of all, the library to be introduced import numpy as np import pandas as pd import matplotlib.pyplot as plt import matplotlib matplotlib.rcParams['font.sans-serif']=['SimHei']#The purpose of displaying Chinese in bold is that the axis label and title of the figure made by matplotlib can be expressed in Chinese II Import file df=pd.r ...

Posted by TreColl on Mon, 09 May 2022 23:22:18 +0300

## Watermelon 3.4 problem solving report (python multi-class learning ten fold cross)

Lazy looking for the smallest data set on UCI, the data is about the speed and angle of the container crane, to judge its strength (I don't know the crane ah ah ah) Although you don't understand it, it doesn't prevent you from writing code classifications. Obviously, markers are power, divided into 0.3, 0.5, and 0.7. Specific model learning or ...

Posted by Ansel_Tk1 on Mon, 09 May 2022 19:09:55 +0300

## Realizing Iris classification by fuzzy clustering -- computational intelligence operation (with MATLAB code)

Problem background Iris flower dataset was created by Sir Ronald Fisher in 1936 [ 1 ] \color{#0000FF}{}  The classical cube introduced can be used as a sam ...

Posted by A584537 on Sun, 08 May 2022 22:38:01 +0300