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Logistic Regression Basics demo in Python

Python demo   Last updated on - July 19, 2021
python college engineering best social real cool machine-learning
Ayush Pal
Ayush Pal
Python Java Data Science Machine Learning C Cpp HTML CSS JS 
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Logistic Regression Basics project is a web application which is implemented in Python platform.Logistic Regression Basics Python demo tutorial and guide for developing code. Entity–relationship(er) diagrams,Data flow diagram(dfd),Sequence diagram and software requirements specification (SRS) of Logistic Regression Basics in report file. Download Logistic Regression Basics web application project in Python with source code . Latest Python project with source code. web mini and major project with source code. Synopsis of Logistic Regression Basics available in project document. This source code import in jupyter notebook for application development. Logistic Regression Basics project source code for BE, Btech, mca, bca, engineering, bs cs, IT, software engineering final year students can submits source code in collage. This source code submitted by Ayush Pal. Download Free Scripts,source Codes,Reviews and Much More.Logistic Regression Basics with output screen shot.Logistic Regression Basics academic Python projects for final year and semster students.Logistic Regression Basics is free download available here. We have grate project collection of Python with source code.

Logistic Regression Basics Python Example Information

demo Name

Logistic Regression Basics

Project Complexityadvanced
Duration15 Days
demo ID6143
Developer NameAyush Pal
Publish DateJuly 19, 2021
demo PlatformPython
Programming LanguageFor this particular Python project, python is required
Front EndGUI for desktop apps PyQT, Tkinter, Kivy, wxPython, Bottle/ Web apps - HTML, CSS, JS, Bootstrap
Back EndPython, MySQL, Oracle, MariaDB, PostgreSQL, MongoDB, Microsoft SQL Server
IDE Tooljupyter notebook
Database Integrationno
demo Typeweb Application
No of demo Download7
demo Total View1442
Today Trends130
Current Month Trends137
Last Month Trends10

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Features of the Logistic Regression Basics demo

We will implement the following feature in the Python Logistic Regression Basics Project:
a Jupyter Notebook based logistic regression model which shows how to use logisti egression on a sample dataset

User modules and function of Logistic Regression Basics

We will implement the following functionalities in the Python Logistic Regression Basics Project:

Software requirement to run this demo

Install latest Python for Windows / Mac / Linux. IDE for python : PyCharm, Visual Studio Code, Sublime Text, Spyder, Thonny, Atom, IDLE, Emacs, Jupyter, PyDev, Vim, Visual Studio, Eclipse, PyDev, Eric, Code editing, PyScripter DBMS : MySQL, Oracle, MariaDB, PostgreSQL, MongoDB, Microsoft SQL Server As per Project requriments.

Hardware requirement to run this demo

1. laptop/desktop. 2. minimum 8GB RAM. 3. minimum 250GB SDD for high preforms.

How to install the project?

After you finish downloading the project, unzip the project file.

How to import database?

Python demo On Logistic Regression Basics

Logistic Regression Basics Python project concept and basic tutorial source code. .Project screen shots in project file also you can take it when execute source code.Complete ready made projects developed in Python with source code download.You can find top downloaded Python project source codes.

How to create diagram?

Creating diagrams like Class Diagrams, Use Case Diagrams, Entity–Relationship (ER) Diagrams, Data Flow Diagrams (DFD), and Sequence Diagrams is essential for designing and understanding software systems. Here’s a proper guide to help you get started with each type:

Logistic Regression Basics demo output screen

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