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CodSoft Machine Learning Engineer Intern Interview Questions and Answers

Updated 27 Nov 2024

CodSoft Machine Learning Engineer Intern Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Newspaper Ad and was interviewed before Nov 2023. There was 1 interview round.

Round 1 - Assignment 

Assignment topic is classify the problem of ML and solve them.

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I appeared for an interview in Dec 2023.

Round 1 - Aptitude Test 

English, number system, grammar

Round 2 - Coding Test 

Python , data science, machine learning

Round 3 - Assignment 

Python machine learning, natural language precossing

Round 4 - HR 

(4 Questions)

  • Q1. Python , Data Science, SQL
  • Q2. What is python basics, libraries
  • Ans. 

    Python basics include syntax, data types, and control structures. Libraries like NumPy, Pandas, and Matplotlib enhance data analysis and visualization.

    • Python basics cover syntax, variables, data types, and control structures.

    • NumPy is a library for numerical computing, providing powerful array operations.

    • Pandas is a library for data manipulation and analysis, offering data structures like DataFrames.

    • Matplotlib is a libr...

  • Answered by AI
  • Q3. Data science algorithms , and theory
  • Q4. Sql querys, cluases
Round 5 - Group Discussion 

Indian environment, village, college days

Round 6 - HR 

(1 Question)

  • Q1. Python, data science
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
-
Result
-

I applied via Campus Placement

Round 1 - Technical 

(1 Question)

  • Q1. ML and deep learning questions
Round 2 - Interview 

(2 Questions)

  • Q1. Projects discussion
  • Q2. Chatgpt architecture
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed in Dec 2023. There was 1 interview round.

Round 1 - One-on-one 

(3 Questions)

  • 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.

  • Answered by AI
  • 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...

  • Answered by AI
  • 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...

  • Answered by AI

Skills evaluated in this interview

Round 1 - Technical 

(1 Question)

  • Q1. Basic python and machine learning questions
Round 2 - HR 

(1 Question)

  • Q1. Salary expectation and working location related questions and why you want to join wipro

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on basic python and machine learning
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed in Jun 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Some basic aptitude questions were asked , but had to be solved in 20 minutes

Round 2 - Coding Test 

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

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Dec 2023. There was 1 interview round.

Round 1 - HR 

(3 Questions)

  • Q1. How many working days
  • Q2. Company give another benefit
  • Q3. Work load is high or low
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Basic DSA questions will be asked Leetcode Easy to medium

Round 2 - Technical 

(2 Questions)

  • Q1. BERT vs LSTM and their speed
  • Ans. 

    BERT is faster than LSTM due to its transformer architecture and parallel processing capabilities.

    • BERT utilizes transformer architecture which allows for parallel processing of words in a sentence, making it faster than LSTM which processes words sequentially.

    • BERT has been shown to outperform LSTM in various natural language processing tasks due to its ability to capture long-range dependencies more effectively.

    • For exa...

  • Answered by AI
  • Q2. What is multinomial Naive Bayes theorem
  • Ans. 

    Multinomial Naive Bayes is a classification algorithm based on Bayes' theorem with the assumption of independence between features.

    • It is commonly used in text classification tasks, such as spam detection or sentiment analysis.

    • It is suitable for features that represent counts or frequencies, like word counts in text data.

    • It calculates the probability of each class given the input features and selects the class with the

  • Answered by AI

Skills evaluated in this interview

I applied via Naukri.com and was interviewed before Oct 2019. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Basic questions of Python and pytest framework
  • Q2. Questions will be based on the resume in hand

Interview Preparation Tips

Interview preparation tips for other job seekers - Be genuine with your resume. Understand the project, that you handle. Be aware of the software market and be bold to open up with your views. It is not always true, that when new technologies come up, the old goes down. It is the less adaptability of the technology, that pulls it back.

I applied via Campus Placement and was interviewed in May 2021. There were 3 interview rounds.

Round 1 - Assignment 

Mcq and 2 coding(basic)

Round 2 - Technical 

(1 Question)

  • Q1. Explain about oops concept
  • Ans. 

    OOPs is a programming paradigm based on the concept of objects, which can contain data and code.

    • OOPs stands for Object-Oriented Programming.

    • It focuses on creating objects that interact with each other to solve a problem.

    • Encapsulation, Inheritance, Polymorphism, and Abstraction are the four main pillars of OOPs.

    • Encapsulation is the process of hiding the implementation details of an object from the outside world.

    • Inherita...

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. About myself, my family and goal

Interview Preparation Tips

Interview preparation tips for other job seekers - Be polite if you have basic knowledge you will select here

CodSoft Interview FAQs

How many rounds are there in CodSoft Machine Learning Engineer Intern interview?
CodSoft interview process usually has 1 rounds. The most common rounds in the CodSoft interview process are Assignment.

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CodSoft Machine Learning Engineer Intern Interview Process

based on 2 interviews

Interview experience

4
  
Good
View more

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