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I was interviewed before May 2023.
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Code for parsing a triangle
Use a loop to iterate through each line of the triangle
Split each line into an array of numbers
Store the parsed numbers in a 2D array or a list of lists
The ASCII value is a numerical representation of a character. It includes both capital and small alphabets.
ASCII values range from 65 to 90 for capital letters A to Z.
ASCII values range from 97 to 122 for small letters a to z.
For example, the ASCII value of 'A' is 65 and the ASCII value of 'a' is 97.
I applied via Recruitment Consultant and was interviewed in Mar 2021. There was 1 interview round.
I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.
Data science is the field of extracting insights and knowledge from data using various techniques and tools.
Data science involves collecting, cleaning, and analyzing data to extract insights.
It uses various techniques such as machine learning, statistical modeling, and data visualization.
Data science is used in various fields such as finance, healthcare, and marketing.
Examples of data science applications include fraud...
Python and R are programming languages commonly used in data science and statistical analysis.
Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.
R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.
Both languages are popular choices for data scientists and hav...
posted on 28 Feb 2024
I applied via Naukri.com and was interviewed before Feb 2023. There were 2 interview rounds.
PCA is used to reduce the dimensionality of data by finding the most important features.
PCA is used when dealing with high-dimensional data to reduce the number of features and avoid multicollinearity.
It helps in visualizing data in lower dimensions while retaining as much variance as possible.
PCA is commonly used in image processing, genetics, finance, and other fields where dimensionality reduction is needed.
Expect technical questions as well as moderate level coding questions
I applied via Recruitment Consulltant and was interviewed in Aug 2023. There were 3 interview rounds.
Core Python questions were asked
I have worked on projects involving predictive modeling, natural language processing, and computer vision.
Predictive modeling: Developed machine learning models to predict customer churn for a telecom company.
Natural language processing: Built a sentiment analysis tool to analyze customer reviews for a retail company.
Computer vision: Implemented a facial recognition system for access control in a secure facility.
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