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This school will be conducted online via Zoom

Last dates for registration:
14th January 2022 (CLOSED)

Only for participants from India and Currently Residing in India
Registration fee for PYTHON-Based Data Science, Machine Learning and Deep Learning

  • Fulltime Undergraduate B.Tech/B.E. Students from Engineering Colleges in India: (25,000 + 18% GST = Rs.29,500)
  • Fulltime Postgraduate M.Tech/M.E./ Students from Universities/ Engineering Colleges in India: (27,000 + 18% GST = Rs.31,860)
  • Fulltime Ph.D. Research Scholars from Universities/ Engineering Colleges in India: (27,000 + 18% GST =Rs.31,860)
  • Fulltime Faculty of Engineering Colleges/ Universities in India: (28,000 + 18% GST =Rs.33,040)
  • Industry Professionals/Personnel from R & D Organisations in India and all other participants: (32,000 + 18% GST = Rs.37,760)

  Important Note:
  • We currently do not allow participants from countries other than India.

Procedure for Anaconda, Spider, PYTHON installation for windows:

Please note participants are required to use Laptop with PYTHON, installed. Although participants can use any IDE, preferred installation is ANACONDA and Spyder for PYTHON. Detailed stepwise procedure to install ANACONDA Spyder for free on windows platform can be found in document below
Installation document

Once Spyder IDE is running, please run this TEST CODE to make sure your installation is working as expected.
The SCREEN SHOT of plot is here

Important Notes: The school is self-contained and includes research style lecture sessions with concepts, problem formulation, algorithms, followed by simulation and verification over practical datasets using PYTHON and various packages such as NUMPY, LINALG, MATPLOTLIB, PANDAS, SCIKIT-LEARN, SEABORN, TENSORFLOW, KERAS.

Registration fee covers the following

  • Participation in online DS/ ML/ DL program
  • Hands-on DS/ ML/ DL tutorials
  • Hands-on DS/ ML/ DL projects with practical datasets
  • PYTHON project mentoring and coding assistance by IITK TAs
  • Detailed printed school material on DS/ ML/ DL (To be sent by post)
  • PYTHON Project Code (To be sent by post)
  • DS/ ML/ DL participation certificate from IIT Kanpur (Soft copy will be provided)

Important Notes:

  1. Only hard copy of lecture material will be posted. Due to IPR related concerns, soft copies will not be provided.
  2. Efforts will be made to send the material before the school begins. However, in the event of a lockdown or courier services not operating prior to the school, material will be sent once services resume after the school.
  3. Since material will be sent by post/ courier, organizers do NOT take responsibility for postal/ courier delays or non-receipt of material.
  4. Recording of lectures, uploading/ distribution of video or audio lectures or school notes is strictly NOT permitted
  5. Participants have to ensure connectivity for the duration of the school. Recorded video lectures will NOT be available. All participants should test their connections during the Zoom test sessions mentioned in Program
  6. All participants MUST keep their video feed ON during the school to monitor attendance and participation
  7. Minimum 80% attendance is required in school.

Registration for the the PYTHON-Based Data Science, Machine Learning and Deep Learning is CLOSED

Refund Policy: In case of cancellation by participant, fee will be refunded after deduction of GST and INR 3,000 overhead charges per program. Cancellation requests will only be accepted up to 7 days prior to start of school and material has NOT been dispatched. After that no refund will be possible.

Act of God: In the rare event course cannot be held as per normal schedule because of acts of God beyond our control due to extreme events pertaining to weather, natural phenomenon or critical illness/ unavailability of the instructor, school will be shifted to a date of mutual convenience. If this still cannot be held after due consideration, fee will be refunded to participants after deduction of GST. Further, all school material such as notes, assignments, solutions and PYTHON code will be posted to all the participants.

Preparing for the school