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Predicting student's current semester score based on two previous semester scores.

License: GNU General Public License v3.0

Python 100.00%
python plotly data-prediction semester-pointers

data-prediction-and-plotting's Introduction

Data prediction and plotting

The objective of this topic is to predict the third-semester pointers on the basis of the first and second-semester pointers' values. And to create a method that can predict the near future data (one or two values) to its possible amount of accuracy by using the minimal amount of data.

What’s In This Document

Setup Instructions

The python modules/libraries required to run this code on Windows Machine:

$ pip install xlrd
$ pip install collections
$ pip install plotly

Or Install Plotly in Virtual Environment by the following instructions

Create your virtualenv

$ mkdir ~/.virtualenvs
$ cd ~/.virtualenvs
$ python -m venv plotly3.3

Activate the virtualenv

$ source ~/.virtualenvs/plotly2.7/bin/activate
(plotly2.7) $

Install plotly locally to virtualenv

(plotly2.7) $ pip install plotly==3.3

Deactivate to exit

(plotly2.7) $ deactivate
$ 

Getting Started

$ git clone https://github.com/Dhyeythumar/Data-prediction-and-plotting.git
$ cd data_prediction&plotting
$ python data_prediction.py

The project is running 😃

Create an .exe file

To create a build file you need to install cx_Freeze.

Install cx_Freeze

$ pip install cx_Freeze

Create build file

$ cd data_prediction&plotting
$ python setup.py build

Successfully created a build file 📦

License

This project is licensed under the GNU GPLv3 - see the LICENSE file for details.

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