## Simple practice of logistic regression and record of problems encountered

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*

## Teach you: personal credit default prediction model

Series articles
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*

## Python implements logical regression and gradient descent strategy

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*

## Learning notes from scratch of 3.6 softmax regression in hands on deep learning + PyTorch

preface
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.
2, Steps
1. Import and storage
import torch
import torchvision
import nu ...

Added by **petitduc** on *Thu, 20 Jan 2022 21:53:13 +0200*

## Artificial intelligence ② -- logical regression and iris set

Catalogue
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*

## Extended tecdat|R language, logistic regression, random forest, SVM support vector machine to predict Framingham heart disease risk and model diagnosis visualization

Original link: http://tecdat.cn/?p=24973
Original source: Tuo end data tribal official account
brief introduction
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*

## Introduction to in-depth learning series: simple logistic regression model building

Catalog
1. Preface
2. References and Basis
3. Why Linear Regression
4. Problem Analysis
1. Modeling
2. Read in data and get output
3. Loss function
4. Optimization algorithm
6. Model training, prediction labels
1. Preface
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*

## Machine learning to predict divorce

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*

## [data analysis and mining] binary classification / multi classification prediction practice based on LightGBM,XGBoost and logistic regression (with data sets and codes)

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*