Tip 1 : Prepare your resume well (Add links to your projects)
Tip 2 : Apply Machine learning to your own real-world problems.
Tip 3 : Take part in hackathons/open-source events if applying for data science/ML roles.
Tip 1 : Mention your open source contributions/ participation in hackathons.
Tip 2 : Provide links to your projects.
Can you solve each query in O(logN) ?
The interviewer asked me to introduce myself and my past experiences.
Then he started by asking some basic terminologies from Machine Learning. After that, he gave me a basic coding question to be coded in python. The interviewer was getting deep into time complexities for that particular question.
After that he asked me questions from my internships, resumes and my past hackathons.
If the ARR is [4,6,9,11,1,2,2] and ‘VAL’ is 4, the answer will be ‘YES’ as 4 exist in ‘ARR’.
It was just a Managerial round in which the manager was checking whether I am a good fit for the role or not. The discussion lasted for around 40 to 45 minutes.
Here's your problem of the day
Solving this problem will increase your chance to get selected in this company
How do you write a single-line comment in C++?