Analytics India Magazine analyticsindiamagazine

Analytics India Magazine chronicles technological progress in the space of analytics, artificial intelligence, data science & big data.

analyticsindiamagazine / testing_prep.py

Last active December 2, 2019 03:26

	#TESTING
	max_seq_length = 128 #This number will determine the number of tokens

	#An example for tokenization
	s1 = train['STORY'].iloc[0]
	stokens1 = tokenizer.tokenize(s1)
	stokens1 = ["[CLS]"] + stokens1 + ["[SEP]"]

	input_ids1 = get_ids(stokens1, tokenizer, max_seq_length)
	input_masks1 = get_masks(stokens1, max_seq_length)

analyticsindiamagazine / ST_default_args.py

Created December 3, 2019 09:24

	self.args = {
	"output_dir": "outputs/",
	"cache_dir": "cache_dir/",
	"fp16": True,
	"fp16_opt_level": "O1",
	"max_seq_length": 128,
	"train_batch_size": 8,
	"gradient_accumulation_steps": 1,
	"eval_batch_size": 8,
	"num_train_epochs": 1,

analyticsindiamagazine / SimpleTransformers_classification.ipynb

Created December 3, 2019 09:43

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analyticsindiamagazine / index.html

Created December 9, 2019 05:27

	<!DOCTYPE html>
	<html >
	<!--From https://codepen.io/frytyler/pen/EGdtg-->
	<head>
	<meta charset="UTF-8">
	<title>Find The Resale Price Of Your Car Now!!</title>
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<link href='https://fonts.googleapis.com/css?family=Pacifico' rel='stylesheet' type='text/css'>
	<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Raleway">
	<link rel="stylesheet" href="https://www.w3schools.com/w3css/4/w3.css">

analyticsindiamagazine / app.py

Created December 9, 2019 05:29

	#Importing necessary packages
	import numpy as np
	from flask import Flask, request, render_template
	import pickle
	from fastai.tabular import *
	import os

	#Saving the working directory and model directory
	cwd = os.getcwd()
	path = cwd + '/model'

analyticsindiamagazine / app_imports.py

Created December 9, 2019 05:30

	#Importing necessary packages
	import numpy as np
	from flask import Flask, request, render_template
	import pickle
	from fastai.tabular import *
	import os

analyticsindiamagazine / prediction_api.py

Last active December 9, 2019 06:01

	def predict():

	try:
	#all the input labels . We had only trained the model using these selected features.
	labels = ['Brand', 'Location', 'Year', 'Kilometers_Driven', 'Fuel_Type','Transmission', 'Owner_Type', 'Mileage']

	#Collecting values from the html form and converting into respective types as expected by the model
	Brand = request.form["Brand"]
	Location = request.form["Location"]
	Year = int(request.form["Year"])

analyticsindiamagazine / modeling.ipynb

Created December 9, 2019 11:50

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analyticsindiamagazine / speech_clr.py

Created December 10, 2019 06:56

	#Importing the speech recognition module
	import speech_recognition as sr
	#A random default value for prediction -- not among the classes we are predicting
	prediction = 10

	#Initializing the speech recognizer
	r = sr.Recognizer()

	#Declaring the listener source
	with sr.Microphone() as source:

analyticsindiamagazine / speech_Classifier.ipynb

Created December 10, 2019 07:22

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