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Practice Problem: Skilltest - Machine Learning

About the Event

"Skilltest : Machine Learning" is a skill assessment challenge. The aim of this challenge is to test your machine learning skills and validate how well equipped are you.

Automation has always been a driving force for technological advancements. Techniques like machine learning enable us to explore automation in every domain possible. As time goes on, you see machine learning everywhere from mobile personal assistants to recommendation systems in e-commerce website. It's getting harder and harder to ignore this florishing technology.

The skilltest is an opportunity for you to examine the skills required for a data scientist. We will be testing you on the basic concepts of machine learning, machine learning algorithms, techniques and approaches which you should know like back of your hand.

Data Science Resources

  • You can refer our learning path to learn more about the tools and technologies required to solve Data science problems. You can find ithere.

Rules

  • The questions are MCQ types.
  • Each question carries equal marks.
  • There is no negative marking for any wrong answer.
  • There is only one option correct for each question.
  • Once an answer is submitted for a question, the participant is not allowed to visit the question again.

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Registration Details

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Total registered

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

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.

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.

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.

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

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.

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

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