Say one strong point and one weak point of you
Data Analytics Interview Questions
13,148 data analytics interview questions shared by candidates
superday questions: 1) was mostly coding-related - differences between C and Python? dp problem talk and explain the logic, gfg, and green book style puzzles and brainteasers 2) The interviewer was a senior ED, asked basics about linear regression, assumptions, and when it fails. gave a case study times classification problem and asked to walk through the process of building a model end-to-end 3) A bit on my resume and behavioral questions
If you could choose the percentage of coding you could do at work, how much would it be?
Tell me about your favorite project and went in depth.
Interpreting heatmap of altitude vs speed for different planes
1. How can we work on the limitations of K-means algorithm.
The first exercise was trivial and I let you take it. The second one was about coding the Fibonacci series. Here my code in Python: input= [4] i=1 for line in input: if line==0: fibonacci=[0] if line==1: fibonacci=[1] if line==2: fibonacci=[0,1,1] if line>2: fibonacci=[0,1,1] while i<line-1: fibonacci.append(fibonacci[-1]+fibonacci[-2]) i+=1 fibonacci[-1] The third one was a digit manipulation game. Below my code in Python: input=1818 digit=[] digit_r=[] digit_even=[] digit_odd=[] digit_double=[] for integer in str(input): digit.append(int(integer)) digit_r=digit[::-1] digit_even=digit_r[1::2] digit_odd=digit_r[0::2] digit_double=[int(x)+int(x) for x in digit_even] res = sum(digit_odd) + sum(digit_double) res The provided codes match the expected results. Just make sure you import sys and use stdin when implementing your code in CodeVue. Good luck!
Explaining the technique you used in machine learning
Can you go through your background and educational history?
Q: Run us through your resume Q: A finance data science scenario
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