Machine Learning Projects using Python #1.! Programming World

Section 1: Build an App to Find Cheap Airfares

1.1 The Course Overview

This video gives an overview of the entire course.

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1.2 Sourcing Airfare Pricing Data

We need the air pricing data from a website to work with. You will learn to do that in this section.

·        Get flight explorer and look at an example

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1.3 Retrieving the Fare Data with Advanced Web Scraping Techniques

After determining the source of the data, we need to retrieve the data.

·        Install Phantom JS and the necessary libraries

·         Instantiate the browser object

·         Send the user agent to the receiving server

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1.4 Parsing the DOM to Extract Pricing Data

DOM is the structure of elements that form the web page. We need to get some details of the structure by parsing it.

·         Feed the page source and retrieve a list of best prices

·         Extract the best price or the cheapest price

·         Identify outliers with clustering techniques

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1.5 Sending Real-Time Alerts Using IFTTT

To get real-time alerts when a particular event occurs, we need to use IFTTT.

·         Sign up for the Maker channel

·         Create an event fare alert

·         Fill in the message and customize it

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1.6 Putting It All Together

To deploy our app, we'll move on to working in a text editor. You will put together the entire code to get the final result.

·         Import packages

·         Create a function that pulls down the data and runs your clustering algorithm

·         Include a scheduler and run the file from the command line

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Section 2