Fly Smart, Not Hard: How AI Can Help You Find the Cheapest Flights
Using AI to find cheap flights is a popular application of machine learning in the travel industry. In this article, we will explore how to use machine learning algorithms to find cheap flights and provide some technical details and sample code to get you started.
Step 1: Collecting Data
The first step in using AI to find cheap flights is to collect data on historical flight prices. This data will be used to train machine learning algorithms to predict future flight prices. There are several websites and APIs that can be used to collect this data, such as Kayak, Skyscanner, and Google Flights.
Step 2: Preprocessing the Data
Once you have collected historical flight price data, you need to preprocess it to prepare it for machine learning. This involves cleaning the data, removing duplicates and outliers, and converting it into a format that can be used by machine learning algorithms. This can be done using programming languages like Python and data preprocessing libraries like Pandas.
Step 3: Training the Model
Once you have preprocessed the data, you can train machine learning models to predict future flight prices. There are several machine learning algorithms that can be used for this task, such as…
