Sai Durga Kamesh Kota ksdkamesh99

💻

Sleep-Code-Eat

Data Science Intern @sony • MLH Fellow • Google DSC ML Lead • Aspiring SDE • AI Practitioner🤖 • Tech Blogger📝

ksdkamesh99 / app.py

Created August 9, 2020 12:15

	# Import Required Libraries

	from flask import Flask,render_template,request,send_file,send_from_directory,jsonify
	import pickle
	import numpy as np

	# We need to initialise the Flask object to run the flask app
	# By assigning parameters as static folder name,templates folder name

	app = Flask(__name__,static_folder='static',template_folder='templates')

ksdkamesh99 / ajax.js

Created August 9, 2020 10:04

	<script type="text/javascript">

	$(function() {
	$('#predict').click(function() {
	event.preventDefault();
	var form_data = new FormData($('#myform')[0]);
	console.log(form_data);
	$.ajax({
	type: 'POST',
	url: '/predict',

ksdkamesh99 / index.html

Created August 9, 2020 09:56

	<!DOCTYPE html>
	<html>
	<head>
	<title>Iris Classifier</title>
	<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>

	</head>
	<body>

	<h1><CENTER>Iris Classifier</CENTER></h1>

ksdkamesh99 / pickle.py

Created August 9, 2020 09:25

	# Importing the pickle library

	import pickle

	# Dumping the model object to save it as model.pkl file

	pickle.dump(model,open('model.pkl','wb+'))

ksdkamesh99 / model_iris.py

Created August 9, 2020 09:20

	# Importing the necessary libraries

	import numpy as np
	import pandas as pd
	import matplotlib.pyplot as plt
	from sklearn.linear_model import LogisticRegression
	from sklearn.datasets import load_iris
	from sklearn.model_selection import train_test_split

	# Load the iris dataset from sklearn datasets

ksdkamesh99 / onehot.py

Created July 30, 2020 07:15

	# Importing Required Libraries

	import pandas as pd
	import numpy as np

	# Reading the dataset with column as Sex

	data=pd.read_csv('train.csv',usecols=['Sex'])

	# Change column name to Gender

ksdkamesh99 / MainActivity.java

Created July 27, 2020 13:54

	package com.example.regression;

	import androidx.appcompat.app.AppCompatActivity;
	import org.tensorflow.lite.Interpreter;

	import android.content.res.AssetFileDescriptor;
	import android.os.Bundle;
	import android.view.View;
	import android.widget.Button;
	import android.widget.EditText;

ksdkamesh99 / doinference.java

Created July 27, 2020 13:51

	private float doInference(String inputString) {
	float[] inputVal=new float[1];
	inputVal[0]=Float.parseFloat(inputString);
	float[][] output=new float[1][1];
	tflite.run(inputVal,output);
	return output[0][0];
	}

ksdkamesh99 / loadmodel.java

Created July 27, 2020 13:43

	private MappedByteBuffer loadModelFile() throws IOException {
	AssetFileDescriptor fileDescriptor=this.getAssets().openFd("degree.tflite");
	FileInputStream inputStream=new FileInputStream(fileDescriptor.getFileDescriptor());
	FileChannel fileChannel=inputStream.getChannel();
	long startOffset=fileDescriptor.getStartOffset();
	long declareLength=fileDescriptor.getDeclaredLength();
	return fileChannel.map(FileChannel.MapMode.READ_ONLY,startOffset,declareLength);
	}

ksdkamesh99 / activity_main.xml

Created July 27, 2020 13:02

	<?xml version="1.0" encoding="utf-8"?>
	<androidx.constraintlayout.widget.ConstraintLayout xmlns:android="http://schemas.android.com/apk/res/android"
	xmlns:app="http://schemas.android.com/apk/res-auto"
	xmlns:tools="http://schemas.android.com/tools"
	android:id="@+id/relativeLayout"
	android:layout_width="match_parent"
	android:layout_height="match_parent"
	tools:context=".MainActivity">

	<EditText