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KONE Data Scientist Intern Interview Questions and Answers
KONE Data Scientist Intern Interview Experiences
1 interview found
Anonymous
Selected
I applied via Campus Placement and was interviewed before Aug 2023. There were 2 interview rounds.
Had basic coding test
(4 Questions)
- Q1. Tell me about urself
- Q2. How would u read csv in python
- Ans.
Use pandas library to read csv files in Python.
Import pandas library: import pandas as pd
Use pd.read_csv() function to read csv file
Specify file path as argument in read_csv() function
Assign the result to a variable to store the data
Example: df = pd.read_csv('file.csv')
- Q3. Query anything in sql
- Q4. Tell about libraries you have used in python
- Ans.
I have used libraries like NumPy, Pandas, Matplotlib, and Scikit-learn in Python for data analysis and machine learning tasks.
NumPy: Used for numerical computing and array operations.
Pandas: Used for data manipulation and analysis.
Matplotlib: Used for data visualization.
Scikit-learn: Used for machine learning algorithms and model building.
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Yash
Selected
I applied via Job Fair and was interviewed in Sep 2023. There was 1 interview round.
(1 Question)
- Q1. A time when you delivered more than expected
- Ans.
I delivered more than expected by implementing a new machine learning algorithm that significantly improved model accuracy.
Identified the need for a more advanced algorithm based on data analysis
Researched and implemented a cutting-edge machine learning algorithm
Tested the new algorithm on a sample dataset and compared results with existing models
Achieved a significant increase in model accuracy, exceeding initial expe
Selected
I applied via Campus Placement and was interviewed before May 2022. There were 4 interview rounds.
Test based on Python Programming nomenclatures and statistical concepts.
One topic to discuss based on latest in technology. For example Impact of AI on human jobs
(3 Questions)
- Q1. Technical and HR round is combined for understanding behaviour of the candidate.
- Q2. What is Naive Bayes Algorithm?
- Ans.
Naive Bayes Algorithm is a simple probabilistic classifier based on Bayes' theorem with strong independence assumptions.
It is based on the assumption that the presence of a particular feature in a class is unrelated to the presence of any other feature.
It calculates the probability of each class given a set of input features and selects the class with the highest probability.
Commonly used in text classification, spam f...
- Q3. What is Logistic Regression and what are the assumptions of linear regression?
- Ans.
Logistic Regression is a statistical method used to model the probability of a binary outcome.
Logistic Regression is used when the dependent variable is binary (e.g., 0 or 1, Yes or No).
It estimates the probability that a given input belongs to a certain category.
Assumptions of linear regression include linearity, independence of errors, homoscedasticity, and normality of errors.
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