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u Airline Route Planning: As you know, the Aviation Industry is the only industry which is known to bear
heavy losses all over the world. Except for a few airline service providers, companies are struggling to
maintain their occupancy ratio and operating profits. Using Data Science, the aviation industry can easily
understand the customers’ preferences and other maintenance issues. For instance, analysis of ticket
booking helps the industry to target the customers with personalised offers while optimising the price in
real-time using predictive analysis techniques. As a result, by gathering meaningful data, airlines can fetch
more bookings in the given timeframe.

u Shopping Comparison Website: A shopping comparison website is also known as
price comparison website. At a basic level, these websites skim through multiple
e-commerce sites to gather data about products and services like prices, descriptions,
features, reviews etc. This information is then combined on a price comparison
website and results are tailored according to a visitor’s search request. Thus, when
a buyer searches for a product on a price comparison website, the site compares
and displays listings of the same product from multiple sellers. The buyer can then
compare the listings based on price deals, features, shipping costs, etc. PriceGrabber, PriceRunner, Junglee,
Shopzilla, and DealTime are some examples of price comparison websites. Nowadays, price comparison
websites can be found in almost every domain such as technology, hospitality, automobiles, durables,
apparels, etc.

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Pokemon Go is widely popular due to the implementation of Data Science in the Virtual Reality game.

u Medical Imaging and Genomics: In the healthcare sector, data science is used for analysing medical images,
Genetics, and Genomics. It is also applicable to the development of drugs as well. It is of great benefit for
patients in form of virtual assistants that can help them with indication and exercise reminders .

Thus, we can say that Data Science can be widely used in developing AI applications because it gives a strong
base for data analysis in Python.

Data science algorithms are widely used for digital advertisements.

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