ML-Python Flask for Glass dataset

Glass 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.

First Run the model.py

Then app.py

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

Unzip

Open Spyder console . Then flask-glass 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 Glass type.

For more information, Cite this paper if referred.

1. http://www.ijitee.org/wp-content/uploads/papers/v9i7/G5943059720.pdf

2. 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

3. 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.

Enjoy Coding