Which events does the CR include?

All the expos, luminary addresses, domain events, pro nites and so much more in included in CR!

Is it necessary to get offline passes?

Yes, physical passes are required at the time of entry to any free workshop, domain event, and the Pro-shows.

Are the Pro-shows included?

Yes, the nites are included in CR!

When is the last date for collecting the offline passes?

September 16th, 2023 is the last date for collecting the offline pass!

Where can we get the CR from?

The physical copies for the CRs will be available at Biotech Block. The timings will be announced soon.

Decoding the World of Data Science

Experience the world of data science with practical training in data exploration, cleaning, and machine learning.

Time:9:00 AM

Date:19th October, 2024

Venue:Faraday Hall

Fees:INR 800

Mode:Offline

About

This workshop is designed to introduce students to the dynamic field of data science and machine learning, focusing on practical applications. Participants can learn about machine learning algorithms and their real-world applications. Through sessions on regression analysis and classification, students can gain valuable experience in building models and tackling data challenges, equipping them with the foundational skills necessary for a career in data science.

Structure

The data science workshop introduces the field and its industry relevance, covering essential tools like Python, Pandas, and sci-kit-learn. It includes data exploration and cleaning techniques, such as handling missing values and outliers. Participants can then learn about supervised and unsupervised learning, focusing on key algorithms like linear and logistic regression, decision trees, and random forests. Hands-on sessions will cover regression analysis and classification, using real datasets to build and evaluate models.

FAQ

Q: Who can participate in the workshop?

A: The workshop is open to students interested in data science and machine learning, regardless of prior experience.

Q: Is there a limit on the number of participants?

A: Yes, the workshop has a limited number of seats to ensure personalised guidance. Early registration is recommended.

Q: What tools will we use during the workshop?

A: Participants will primarily use Python and libraries like Pandas for data exploration and cleaning, along with relevant machine learning libraries.

Q: Are there any prerequisites for attending this workshop?

A: While no specific prerequisites are required, a basic understanding of programming and statistics will be beneficial.

Q: Will there be a provision for interactive, hands-on projects?

A: Yes, the workshop includes hands-on projects, where participants will work with real datasets to apply machine learning techniques.

Contact

Harshwardhan - 77092 48793
Aakanksha - 83686 74903