Machine learning grid search parameters sklearn

grid search Grid Search GridSearchCV We have two ways to select hyperparameters: 1. Based on experience; 2. Select parameters of different sizes, bring them into the model, and select the parameters with the best performance. When selecting hyperparameters through Path 2, the cost of manual manual adjustment of attention is too high to be wort ...

Posted by AudiS2 on Wed, 05 Oct 2022 02:18:52 +0300

Introduction to sklearn Library in python machine learning

1. Introduction sklearn It is based on python language machine learning Toolkit is the first tool to do machine learning projects. sklearn comes with a large number of data sets for us to practice various machine learning algorithms. sklearn integrates very comprehensive algorithms such as data preprocessing, data feature selection, data fea ...

Posted by oakld on Thu, 05 May 2022 06:00:46 +0300

[machine learning practice] - Titanic dataset -- Bagging promotion (random forest)

1. Write in front: This part belongs to the actual combat part, and pays more attention to the application of the algorithm in the actual project. For further understanding of the perceptron algorithm itself, please refer to the following links, which have played a great role in my learning process: [1]Hands-On Machine Learning with Scikit-Lear ...

Posted by vipul73 on Wed, 27 Apr 2022 10:28:32 +0300

Medical image | breast cancer classification using deep learning (with python drill)

Welcome to the course python machine learning - breast cancer cell mining to teach you how to establish a cell model for diagnosis and prediction of breast cancer. The link address is python machine learning - breast cancer cell mining (recorded by bloggers) Tencent classroom registration address Netease cloud classroom registration address   ...

Posted by gazoo on Tue, 26 Apr 2022 16:20:05 +0300

Machine learning classifier case (opencv sklearn svm ann)

Machine learning classifier case (opencv sklearn svm ann python) ps: Recently, elder martial sister left us a task to record what we have learned from doing the task since we didn't understand anything at the beginning.... Language environment Python 3 7. Library used import os import cv2 import math import time import numpy as np import tqdm f ...

Posted by miro on Mon, 25 Apr 2022 05:07:37 +0300

Clustering algorithm -- k-means algorithm

Learning objectives: clustering algorithm Learning content: k-means algorithm Learning records: Clustering algorithms mainly include: (1) Partition clustering. Most of them are distance based clustering algorithms. There are k-means,k-medoids,CLARANS (2) Hierarchical clustering. It is to decompose hierarchically until certain con ...

Posted by RDKL PerFecT on Sat, 23 Apr 2022 19:20:35 +0300

The isolated forest algorithm for anomaly detection is explained in detail with code running examples

Because the abnormal value often has two characteristics: only a small amount of abnormal data, and the characteristic value of abnormal data is very different from normal data. Isolated forest is not to describe normal sample points, but to isolate outliers, which was proposed by Professor Zhou Zhihua and others at the 8th IEEE International C ...

Posted by tomkleijkers on Wed, 20 Apr 2022 07:33:17 +0300

When Sklearn meets Plotly, machine learning becomes so simple and easy to understand

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