This project involves building a tool that will help users ( Researchers) to apply python (Machine learning) functionalities on their datasets. This will be accomplished by the following modules: First the user will upload dataset then will select function(Apply a classifier , Read statistics
Clasificado
This project involves building a tool that will help users ( Researchers) to apply python (Machine learning) functionalities on their datasets. This will be accomplished by the following modules:
First the user will upload dataset then will select function(Apply a classifier , Read statistics of dataset, Data visualization, Pre-Processing data i.e Label Encoding etc) and after processing the tool will present the output of that function.
This tool will automate all the process. User will just have to click a button instead of writing python code.
The user interface will be very simple and this tool will be very easy to use.
Project Objectives:
This tool will be implemented in python language in PyCharm IDE. GUI will be implemented using tkinter GUI builder, at backend of each button there will be code of that functionality in python language.
First we will do a literature review to study all the theoretical aspects about python functionalities.
we will use scikit learn library for most of the functionalities like classification, Visualization etc. and Pandas library for reading and writing datasets.
User will upload dataset in .csv formate.
Many researchers waste their time in implementation, manually python functionalities on their datasets, for example comparing two classifiers in terms of accuracy required a long process and in each step user will have to write the whole code. This tool will automate all those steps from data cleaning to classification user will be able to apply all those functionalities just by few clicks. This tool will increase performance of accuracy of research work. This tool will help those users who finds coding hard. it will save user time and will increase productivity.
Final deliverable will be a whole pekkage of python, python libraries, tcl/tk software and clasificado setup.
with installation of clasificado user will install all those requirments.
The application will run on Raspberry Pi
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Screen | Equipment | 1 | 30000 | 30000 |
| Research Papers | Miscellaneous | 9 | 1000 | 9000 |
| raspberry pi 4 | Equipment | 1 | 14000 | 14000 |
| Total in (Rs) | 53000 |
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