Flask-program-For-Wine-Dataset

Introducing Flask Program for wine Dataset

This Flask program is used to display the Prediction of Wine Target.

Wine dataset are taken into consider to form a wed-based Flask App.

Install Anaconda(Open Source Package)

Either use Spyder or Ipython .

I have used Spyder Notebook to run this Flask App.

Create a virtual environment before running Flask app.

Install Numpy, Flask, Pandas using Pip command.

First Run the model.py

Then app.py

Path for running the app User/ User_Name/ Anaconda3/ Folder name/ Paste Flask Wine from github

Unzip

Open Spyder console . Then flask-Wine folder

After running app.py Copy the 127.0.0.1:5000/ using mouse button

Don't press ctrl+ C from keyboard else the console will exit the running part

Paste the url in browser and Enter the dataset value in order to predict Wine Target.

For more information, Cite this paper if referred.

http://www.ijitee.org/wp-content/uploads/papers/v9i7/G5943059720.pdf
https://www.researchgate.net/profile/Ayantika_Nath2/publication/341671505_Clustering_Visualization_and_Class_Prediction_using_Flask_of_Benchmark_Dataset_for_Unsupervised_Techniques_in_ML/links/5ece482292851c9c5e5f8695/Clustering-Visualization-and-Class-Prediction-using-Flask-of-Benchmark-Dataset-for-Unsupervised-Techniques-in-ML.pdf
https://www.researchgate.net/profile/Ayantika_Nath2/publication/341150281_Clustering_Using_Dimensional_Reduction_Techniques_for_Energy_Efficiency_in_WSNs_A_Review/links/5eb10592299bf18b9595b113/Clustering-Using-Dimensional-Reduction-Techniques-for-Energy-Efficiency-in-WSNs-A-Review.pdf

Citing the paper(if referred) is mandatory since the paper has copyrights.