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Linear Regression Metrics demo in Python

Python demo   Last updated on - July 19, 2021
python machine-learning best cool too good engineering latest technology tect-stack
Ayush Pal
Ayush Pal
Python Java Data Science Machine Learning C Cpp HTML CSS JS 
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Linear Regression Metrics project is a web application which is implemented in Python platform.Linear Regression Metrics Python demo tutorial and guide for developing code. Entity–relationship(er) diagrams,Data flow diagram(dfd),Sequence diagram and software requirements specification (SRS) of Linear Regression Metrics in report file. Download Linear Regression Metrics web application project in Python with source code . Latest Python project with source code. web mini and major project with source code. Synopsis of Linear Regression Metrics available in project document. This source code import in jupyter notebook for application development. Linear Regression Metrics 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.Linear Regression Metrics with output screen shot.Linear Regression Metrics academic Python projects for final year and semster students.Linear Regression Metrics is free download available here. We have grate project collection of Python with source code.

Linear Regression Metrics Python Example Information

demo Name

Linear Regression Metrics

Project Complexityadvanced
Duration15 Days
demo ID6142
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 Download9
demo Total View1440
Today Trends128
Current Month Trends135
Last Month Trends11

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Features of the Linear Regression Metrics demo

We will implement the following feature in the Python Linear Regression Metrics Project:
A jupyter notebook based linear regression and evaluating it using its related metrics. IT makes use of k fold cross validation as well

User modules and function of Linear Regression Metrics

We will implement the following functionalities in the Python Linear Regression Metrics 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 Linear Regression Metrics

Linear Regression Metrics 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:

Linear Regression Metrics demo output screen

output screen

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