Airbnb First Travel Destination



(Multiclass Classification)

Airbnb​ is an online marketplace and hospitality service, enabling people to lease or rent short-term lodging including vacation rentals , apartment rentals, homestays , hostels beds, or hotel rooms.
New users on Airbnb can book a place to stay in 34,000+ cities across 190+ countries. By accurately predicting where a new user will book their first travel experience, Airbnb can share more personalized content with their community, decrease the average time to first booking, and better forecast demand. We need to predict the first travel destination of a new user based on his personalized content .

  • Data Type:
    1. CSV files
    2. age_gender_bkts.csv – summary statistics of users’ age group, gender, country of
    3. countries.csv – summary statistics of destination countries in this dataset and their locations
    4. sessions.csv – (user_id , action , action_type , action_detail , device_type , secs_elapsed )
    5. test_users.csv – ( id , date_account_created , timestamp_first_active ,
      date_account_created, date_first_booking , gender , age , signup_method , signup_flow,
      language , affiliate_channel , first_affiliate_tracked , signup_app , first_device_type ,
      first_browser , country_destination )
    6. train_users.csv – ( Similar to test data )
  • Data Size: 664.2MB

Key Points:

  1. Validity of this course is 240days( i.e Starts from the date of your registration to this course)
  2. Expert Guidance, we will try to answer your queries in atmost 24hours
  3. 10+ machine learning algorithms will be taught in this course.
  4. No prerequisites– we will teach every thing from basics ( we just expect you to know basic programming)
  5.  Python for Data science is part of the course curriculum.


Target Audience:

We are building our course content and teaching methodology to cater to the needs to students at various levels of expertise and varying background skills. This course can be taken by anyone with a working knowledge of a modern programming language like C/C++/Java/Python. We expect the average student to spend at least 5 hours a week over a 6 month period amounting to a 145+ hours of effort. More the effort, better the results. Here is a list of customers who would benefit from our course:

    1. Undergrad (BS/BTech/BE) students in engineering and science.
    2. Grad(MS/MTech/ME/MCA) students in engineering and science.
    3. Working professionals: Software engineers, Business analysts, Product managers, Program managers, Managers, Startup teams building ML products/services.

Course Features

  • Lectures 261
  • Quizzes 0
  • Duration 70+ hours
  • Skill level All levels
  • Language English
  • Students 1
  • Assessments Yes
QUALIFICATION: Masters from IISC Bangalore PROFESSIONAL EXPIERENCE: 9+ years of Experience( Yahoo Labs, Matherix Labs Co-founder and Amazon)


  1. October 17, 2017

    Hi, I am doing my MS in US and I am interested in taking this course, can I enroll from here? I also wanted to know what is the difference between the two courses 15000 courses and the 25000 course? Because both include the algorithms.

    • October 17, 2017

      Hi, There are clustering Algorithms, Deep-learning Neural Networks and 9+ case studies which wont be covered in this/any case study

  2. October 17, 2017

    Hi, I am currently doing my Master’s in US and I want to enroll in the courses. I wanted to know the difference between these 15000 courses and the 25000 course because both includes ML algorithms?

Leave A Reply