Objective: to predict whether a college student can be admitted to the university according to the score.
Methods: call the advanced optimization algorithm or write the gradient descent function (choose the learning rate and iteration times by yourself)
Data: ex2data1 txt
1, Read in data.
1.1 INTRODUCTION Kit
import numpy as np
import pa ...
Added by fullyscintilla on Fri, 04 Mar 2022 21:59:56 +0200
Chapter VIII Teach you hand in hand: Stock Forecasting System Based on LSTMChapter VII Teach you by hand: fruit classification and recognition system based on depth residual network (ResNet)Chapter VI Hand in hand teach you: face recognition video coding
1, Project introduction
This paper mainly introduces how to us ...
Added by rish1103 on Wed, 02 Mar 2022 06:10:45 +0200
We will build a logistic regression model to predict whether a student is admitted to the University. Suppose you are an administrator of a university department. You want to decide the admission opportunity of each applicant according to the results of two exams. You have the historical data of previous applicants, and you can use it as th ...
Added by doozerdc on Thu, 24 Feb 2022 17:43:39 +0200
Softmax regression, also known as multiple or multi class Logistic regression, is the generalization of Logistic regression in multi classification problems.
1, Training set and test set
Use the data set fashion MNIST obtained in the previous section.
1. Import and storage
import nu ...
Added by petitduc on Thu, 20 Jan 2022 21:53:13 +0200
I Manual push to achieve logistic regression gradient descent
II Classification of iris data set by logistic regression
1. Introduction to iris data set
2. What is a linear classifier
3. Main steps of designing linear classifier
4. Rough defin ...
Added by goltoof on Sun, 16 Jan 2022 16:57:05 +0200
Original link: http://tecdat.cn/?p=24973
Original source: Tuo end data tribal official account
The World Health Organization estimates that 12 million people worldwide die of heart disease every year. In the United States and other developed countries, half of the deaths are due to cardiovascular disease. The early ...
Added by Mykasoda on Mon, 10 Jan 2022 12:05:56 +0200
2. References and Basis
3. Why Linear Regression
4. Problem Analysis
2. Read in data and get output
3. Loss function
4. Optimization algorithm
6. Model training, prediction labels
This article is written in the beginning of the author's in-depth learning, but the understanding is still shall ...
Added by crabfinger on Fri, 07 Jan 2022 19:21:19 +0200
Data links and codes: https://pan.baidu.com/s/19Rj_kP2iJ0szS6l2IWg6FQ Extraction code: ezbd
1. Data analysis
Dataset divorce Xlsx, let's take a look at the data description first. In short, each dimension corresponds to a questionnaire question. As shown in the figure
Libraries to be imported:
import pandas as pd
import numpy as np ...
Added by morganchia on Sat, 25 Dec 2021 09:54:49 +0200
1, Classification prediction based on logistic regression
1 Introduction and application of logistic regression
1.1 introduction to logistic regression
Although Logistic regression (LR) has the word "regression", it is actually a classification model and is widely used in various fields. Although deep learning is more popular t ...
Added by linkin on Wed, 08 Dec 2021 12:08:24 +0200