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AmExpert 2021 – Machine Learning Hackathon

About the Event

Introduction:

American Express and Analytics Vidhya present “AmExpert 2021 – Machine Learning Hackathon”, an amazing opportunity to showcase your analytical abilities and talent!

Get a taste of the kind of challenges we face here at American Express on a day-to-day basis.

Win exciting prizes! Best performers may also be interviewed by American Express for analytical roles.

Don’t hold on to the ideas buzzing in your mind. Just wear your thinking hats and display the spectrum of your creativity!


About the Company:

American Express is a globally integrated payments company, providing customers with access to products, insights and experiences that enrich lives and build business success. It has

  • One of the world's most recognizable brands
  • An exceptionally strong heritage - over 170 years of leadership and reinvention
  • Recognition as one of the most innovative company in our industry
  • Cutting-edge Information Management Capabilities and a unique Closed-Loop network
  • Customer loyalty experts with industry-leading rewards programs and platforms
  • A rich history and bright future

Are you looking forward to working with American Express? Explore job opportunities on our job portal: https://jobs.americanexpress.com/india 

Learn more at americanexpress.com/in and connect with us on:


Who can Participate?

  • Open for all data enthusiasts –Data Scientists, Analysts, Statisticians and Students

Prizes:

  • Rank 1 – Fitbit Versa 2 Smart Watch, Black/Carbon Aluminium
  • Top 7 winners – JBL Tune 700BT by Harman, 27-Hours Playtime with Quick Charging, Wireless Over Ear Headphones with Mic

In addition to the above, the highest scorers stand a chance to get interviewed with American Express for analytical and machine learning roles.


Rules:

  • Entries submitted after the contest is closed, will not be considered.
  • You are expected to solve the problem on your own.
  • Multiple IDs of user leads to disqualification from the contest.
  • Use of external data is not allowed.
  • Participant must update their profile details and upload their latest CV.
  • Decision on the winners and runners-up made by American Express will be final and binding.
  • Throughout the hackathon, you are expected to respect fellow hackers and act with high integrity.
  • Analytics Vidhya and American Express hold the right to disqualify any participant at any stage of the competition if the participant(s) are deemed to be acting fraudulently.
  • Existing American Express employees are not allowed to participate in the competition.
  • Prizes will be shipped to an Indian Address only
  • Indian citizens who are residents are eligible only

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Registration Details

2933

Total registered

0

Number of teams

Know where you stand

Spaces You Can Join

Data Science

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

Generative AI

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

Data Engineering

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

Frequently Asked Questions

Find the answers for the most frequently asked questions

There are no specific requirements to register for the hackathon, although it is recommended to have some basic knowledge of the relevant topics, such as Data Science, Machine Learning, or Deep Learning, along with proficiency in a coding language, preferably Python.

Depending on the type of competition, you can participate individually or in a team.

You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.

Participants benefit from one-on-one feedback, publication on a respected platform, recognition from a global audience, and monetary rewards for each published article. Additionally, the top articles receive special rewards.

Each article must be original, and pass plagiarism and not AI generated content checks. You can submit multiple articles as long as each is distinct. Proper citation of all references and image sources is mandatory.

In the Blogathon, an article typically explores a specific topic or idea within Data Science or Generative AI and is required to be at least 1000 words long. A guide, on the other hand, is a more comprehensive resource, covering all aspects of a particular subject in data science, and must be at least 2500 words long. Guides aim to serve as a one-stop resource, providing detailed insights and practical applications, whereas articles might focus on narrower or more specific topics.

Multiple submissions of the same article are prohibited and could lead to disqualification. Articles failing to meet the required length, originality, or citation standards will be rejected.

AVCC is a community for authors who have had three or more articles published in the Blogathons. Members benefit from monetary rewards for each published article and get the opportunity to showcase their work to a larger audience.

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