diff --git a/README.md b/README.md index 2bde25f..32a5bdc 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,45 @@ # Flask-program-for-Seed-dataset-in-ML + Here Flask program for Seed dataset is shown. + +This Flask program is used to display the Prediction of Seed Target. + +Iris 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 Seed 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 Seed Class. + +# 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