CodSoft Machine Learning Engineer Intern Interview Questions and Answers

There were verbal, non verbal, reasoning , English and maths questions

Q1. Tell me about your project.
Ans. 
I worked on a project analyzing customer behavior using machine learning algorithms.
• Used Python for data preprocessing and analysis

• Implemented machine learning models such as decision trees and logistic regression

• Performed feature engineering to improve model performance
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Q2. What programming knowledge you have ?
Ans. 
Proficient in Python, R, and SQL with experience in data manipulation, visualization, and machine learning algorithms.
• Proficient in Python for data analysis and machine learning tasks

• Experience with R for statistical analysis and visualization

• Knowledge of SQL for querying databases and extracting data

• Familiarity with libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn
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Q1. Where do you stay ?
Ans. 
I currently stay in an apartment in downtown area.
• I stay in an apartment in downtown area

• My current residence is in a city

• I live close to my workplace
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Q2. Tell me about you
Ans. 
I am a data science enthusiast with a strong background in statistics and machine learning.
• Background in statistics and machine learning

• Passionate about data science

• Experience with data analysis tools like Python and R
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Q1. Basic python and machine learning questions
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Q1. Salary expectation and working location related questions and why you want to join wipro
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Q1. How many working days
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Q2. Company give another benefit
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Q3. Work load is high or low
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Some basic aptitude questions were asked , but had to be solved in 20 minutes

Medium level 2 leet code questions were asked and i cleared both

Q1. What are Large Language Models?
Ans. 
Large Language Models are advanced AI models that can generate human-like text based on input data.
• Large Language Models use deep learning techniques to understand and generate text.

• Examples include GPT-3 (Generative Pre-trained Transformer 3) and BERT (Bidirectional Encoder Representations from Transformers).

• They are trained on vast amounts of text data to improve their language generation capabilities.
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Q2. Do you know about RAGs?
Ans. 
RAGs stands for Red, Amber, Green. It is a project management tool used to visually indicate the status of tasks or projects.
• RAGs is commonly used in project management to quickly communicate the status of tasks or projects.

• Red typically indicates tasks or projects that are behind schedule or at risk.

• Amber signifies tasks or projects that are on track but may require attention.

• Green represents tasks or projects that ar...read more
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Q3. Which is the best clustering algorithm?
Ans. 
There is no one-size-fits-all answer as the best clustering algorithm depends on the specific dataset and goals.
• The best clustering algorithm depends on the dataset characteristics such as size, dimensionality, and noise level.

• K-means is popular for its simplicity and efficiency, but may not perform well on non-linear data.

• DBSCAN is good for clusters of varying shapes and sizes, but may struggle with high-dimensional d...read more
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Round duration - 140 minutes
Round difficulty - Medium

Test timing was at 2:00 pm , it was conducted in a college and the environment was good for the test. Camera was a primary part of test, so no suspicious activity.

Q1. 
Sum of Two Numbers Represented as Arrays
Given two numbers in the form of two arrays where each element of the array represents a digit, calculate the sum of these two numbers and return this sum as an ar...read more
Ans. 
Given two numbers represented as arrays, calculate their sum and return the result as an array.
• Iterate through the arrays from right to left, adding digits and carrying over if necessary

• Handle cases where one array is longer than the other by considering the remaining digits

• Ensure the final sum array does not have any leading zeros
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Round duration - 20 minutes
Round difficulty - Easy

The round was conducted at around 12 p.m. I was called at the college location and then it was conducted. The interviewer was quite polite and frank.

Round duration - 8 minutes
Round difficulty - Easy

This round was conducted right after finishing and clearing the technical round at the same place and on the same day.