Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
Frontiers

Dynamic and static integrated classification model of gas well based on XGBoost algorithm—an example from block S of Sulige tight sandstone gas field

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...
Scientific Research Publishing

Research on the Design of News Text Classification Algorithm Based on Bidirectional GRU Neural Network ()

School of Computer Science and Technology, Zhejiang Normal University, Jinhua, China. This study aims to design and implement an efficient news text classification system based on deep learning to ...
IEEE

An Improved Weighted KNN Algorithm About Text Classification Based on Spark Framework

Abstract: K-nearest neighbor classification algorithm can quickly deal with the classification problem in this paper, but when calculating the similarity, it will assign the same weight to all ...
IEEE

Research on big data classification method based on improved KNN algorithm

Abstract: K-nearest neighbor classification algorithm (KNN) is one of the simplest methods in data mining classification technology, it has been widely used in many fields because of its simplicity.