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The main task of Task 2 is data exploratory analysis 1, EDA introduction and purpose Introduction: EDA (exploratory data analysis) refers to a data analysis method that explores the existing data under as few a priori assumptions as possible and explores the structure and law of the data by means of drawing, index, equation fitting, calculat ...

pytorch data operation Getting started and building data Guide Package import torch Create a row vector (a special tensor) What is a tensor: a tensor represents an array of values that may have multiple dimensions. A tensor with one axis corresponds to a vector in mathematics; A tensor with two axes corresponds to a mathematical matrix; Te ...

This forecast relates to the marketing activities of Portuguese banking institutions. These marketing activities are generally based on telephone. The customer service personnel of the bank contact the customer at least once to confirm whether the customer is willing to buy the bank's products (time deposit). The basic type of task is classifie ...

be careful: 1. All the articles in this series are mainly developed by the gradient lifting tree model. The extracted features are mainly to help the gradient lifting tree model mine the information it can't mine. All the features introduced in this paper can be directly added to the model as features, which is slightly different from the stra ...

Project description Train a simple convolutional neural network to realize the classification of food pictures. Data set introduction The data set used this time is food-11 data set, which has 11 categories in total Bread, Dairy product, Dessert, Egg, Fried food, Meat, Noodles/Pasta, Rice, Seafood, Soup, and Vegetable/Fruit. (bread, dairy p ...

title: textRCNN intensive reading and reproduction date: 2022-03-03 20:16:16 tags: paper intensive readingReappearancepytorch Thesis address: Recurrent Convolutional Neural Networks for Text Classification | Papers With Code Model architecture Bidirectional cyclic neural network and maximum pooling layer. The embedding mentioned in the pa ...

Python WeChat Subscription Applet Course Video https://edu.csdn.net/course/detail/36074 Python Actual Quantitative Transaction Finance System https://edu.csdn.net/course/detail/35475 Preface: This article mainly explains some preparations I have made in learning the sorting algorithm in Java development environment, and personal experience ...

1. Steps in the training module Training modules are generally saved in train Py, which generally includes the following steps: Import various modules (standard library, third-party library, CV, torch, torch vision), if in model Py (self defined network model file), loss Py (custom loss function), utils Py (various customized methods), config ...

Characteristic engineering concept: Feature engineering transforms raw data into more representative data prediction model The process of features of potential problems can be realized by selecting the most relevant features, extracting features and creating features. Among them, feature creation is often realized by dimension reduction algor ...

Task1 understand the game questions I learning syllabus ● overview of competition questions ● data overview ● prediction index ● analyze competition questions II Learning content 1. Overview of competition questions The competition requires contestants to establish models and predict financial risks according to the given data set. (1) Th ...