regression – SyntaxBug

Linear regression predicts Boston housing prices & the reason for loss is NAN & draws a scatter plot to find the relationship between features and labels

Boston house price csv file Link: https://pan.baidu.com/s/1uz6oKs7IeEzHdJkfrpiayg?pwd=vufb Extraction code: vufb Code %matplotlib inline import random import torch import matplotlib.pyplot as plt import numpy as np import pandas as pd import torch Get the data set from CSV # Load data, the first line is a useless line, skip it directly boston = pd.read_csv(‘../data/boston_house_prices.csv’,skiprows=[0]) # There […]

Practical data analysis | Logistic regression – automatic diagnosis and analysis of cases

Table of Contents 1. Data and analysis objects 2. Purpose and analysis tasks 3. Methods and Tools 4. Data reading 5. Data understanding 6. Data preparation 7. Model training 8. Model evaluation 9. Model parameter adjustment 10. Model prediction 1. Data and analysis objects CSV file – “bc_data.csv” Dataset link: https://download.csdn.net/download/m0_70452407/88524905 This data set mainly […]

Practical data analysis | Linear regression – female height and weight data analysis

Table of Contents 1. Data sets and analysis objects 2. Purpose and analysis tasks 3. Methods and Tools 4. Data reading 5. Data understanding 6. Data preparation 7. Model training 8. Model evaluation 9. Model parameter adjustment 10. Model prediction Commonly used third-party Python toolkits for implementing regression analysis algorithms include statsmodels, statistics, scikit-learn, etc. […]

BP regression prediction | Optimizing BP neural network parking space prediction based on genetic algorithm with Matlab code

?About the author: A Matlab simulation developer who loves scientific research. He cultivates his mind and improves his technology simultaneously. For code acquisition, paper reproduction and scientific research simulation cooperation, please send a private message. Personal homepage: Matlab Research Studio Personal credo: Investigate things to gain knowledge. For more complete Matlab code and simulation customization […]

error_of_linear_regression_pytorch

《Dive-into-DL-Pytorch》-Simple implementation of linear regression (linear regression pytorch) I started learning deep learning on November 3rd. I don’t understand a lot of things. I tried my best to give my own understanding of the code in the book and analyze it. There are two places in the book that will cause errors when running directly. […]

Regression prediction | Optimizing the least squares support vector machine CEEMDAN-SMA-LSSVM power and wind speed prediction based on CEEMD combined with the slime algorithm with matlab implementation

Regression prediction | Optimizing variational mode decomposition based on Sparrow algorithm combined with long short-term memory network SSA-VMD-LSTM to achieve photovoltaic power generation power prediction with Matlab code

Multiple regression prediction/optimizing the time convolutional neural network DBO-TCN based on the dung beetle algorithm to achieve power load prediction with matlab code

[Wind Power Forecast] Based on convolutional neural network combined with long short memory network CNN-LSTM to realize wind power power multi-input single-output regression prediction with matlab code

pytorch-loss function-difference between classification and regression

The difference between torch.nn library and torch.nn.functional library torch.nn Library: This library provides many predefined layers, such as fully connected layers (Linear), convolutional layers (Conv2d), etc., as well as some loss functions (such as MSELoss, CrossEntropyLoss, etc.). These layers are all classes, and they all inherit from nn.Module, so they can be easily integrated into […]