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Zycus Infotech
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Zycus Infotech Machine Learning Engineer Interview Questions and Answers
Zycus Infotech Machine Learning Engineer Interview Experiences
4 interviews found
Manish Mehta
Selected
ML DL Question plus 1 dsa question
(1 Question)
- Q1. It was technical interview based on projects plus stats, ml aggorithms, dl alhoriths , intutions behind them, maths behind all ml algorithms etc.
Interview Preparation Tips
Swapnil Joshi
Hacker Rank which will contain some MCQ and 1 python problem
(1 Question)
- Q1. Based Machine Learning , NLP and Gen AI
Selected
I applied via campus placement at National Institute of Technology (NIT), Raipur and was interviewed before Mar 2023. There were 2 interview rounds.
Consist 39 mcq 1 dsa
(1 Question)
- Q1. Started with resume discussed project then then went into deep concept of ml model and their math intution behind them, stats , hyperparameter tuning, accuracy score, r2 f1, precison recall, regularisa...
Selected
I applied via Approached by Company and was interviewed before Oct 2022. There were 3 interview rounds.
Given two problem statements based on OCR and NLP application
(1 Question)
- Q1. Main focus is on OCR technologies and how they work. NLP is secondary
Zycus Infotech interview questions for designations
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Interview questions from similar companies
(2 Questions)
- Q1. Train a Decision Tree based on dataset provided?
- Ans.
Train a Decision Tree based on provided dataset.
Preprocess the dataset by handling missing values and encoding categorical variables.
Split the dataset into training and testing sets.
Train the Decision Tree model on the training set.
Evaluate the model's performance on the testing set using metrics like accuracy or F1 score.
- Q2. How can you do feature selection?
- Ans.
Feature selection can be done using techniques like filter methods, wrapper methods, and embedded methods.
Filter methods involve selecting features based on statistical measures like correlation, chi-squared test, etc.
Wrapper methods use a specific machine learning algorithm to evaluate the importance of features through iterative selection.
Embedded methods incorporate feature selection within the model training proces...
Skills evaluated in this interview
I applied via Naukri.com and was interviewed in Jan 2024. There were 2 interview rounds.
You can get the information and answer in Google
(3 Questions)
- Q1. Xg boost, naive Bayes algorithm, standard deviation formula and detailed information about that
- Q2. What is xg boost All about naive Bayes algorithm Standard deviations and the formula
- Q3. What is the Byes rules and there in deep
- Ans.
Bayes' rule is a fundamental concept in probability theory that allows us to update our beliefs based on new evidence.
Bayes' rule is named after Thomas Bayes, an 18th-century mathematician.
It is also known as Bayes' theorem or Bayes' law.
Bayes' rule calculates the probability of an event based on prior knowledge and new evidence.
It is commonly used in machine learning and statistical inference.
The formula for Bayes' ru...
Interview Preparation Tips
Skills evaluated in this interview
Selected
I applied via Recruitment Consulltant and was interviewed before Jul 2022. There were 4 interview rounds.
(2 Questions)
- Q1. About the assignment
- Q2. Writing assignment was asked
(1 Question)
- Q1. Softwares that i am aware of
- Ans.
I am aware of various e-learning authoring tools such as Articulate Storyline, Adobe Captivate, and Camtasia.
Articulate Storyline
Adobe Captivate
Camtasia
(1 Question)
- Q1. Html related questions were asked
Interview Preparation Tips
I applied via Recruitment Consultant and was interviewed before Aug 2020. There were 3 interview rounds.
Interview Questionnaire
1 Question
- Q1. Give a facilitation demo.
- Ans.
I would begin by introducing myself and the purpose of the facilitation. Then, I would engage the participants in an interactive activity to encourage participation and collaboration.
Introduce myself and the purpose of the facilitation
Engage participants in an interactive activity
Encourage participation and collaboration
Provide opportunities for reflection and feedback
Interview Preparation Tips
Senior Machine Learning Engineer Interview Questions & Answers
Atlassian
Anonymous
posted on 6 Jan 2025
I applied via Referral and was interviewed in Dec 2024. There was 1 interview round.
Basic data structure coding.
I applied via Naukri.com and was interviewed in Jan 2024. There were 2 interview rounds.
You can get the information and answer in Google
(3 Questions)
- Q1. Xg boost, naive Bayes algorithm, standard deviation formula and detailed information about that
- Q2. What is xg boost All about naive Bayes algorithm Standard deviations and the formula
- Q3. What is the Byes rules and there in deep
- Ans.
Bayes' rule is a fundamental concept in probability theory that allows us to update our beliefs based on new evidence.
Bayes' rule is named after Thomas Bayes, an 18th-century mathematician.
It is also known as Bayes' theorem or Bayes' law.
Bayes' rule calculates the probability of an event based on prior knowledge and new evidence.
It is commonly used in machine learning and statistical inference.
The formula for Bayes' ru...
Interview Preparation Tips
Skills evaluated in this interview
Zycus Infotech Interview FAQs
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Zycus Infotech Machine Learning Engineer Interview Process
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Zycus Infotech Machine Learning Engineer Reviews and Ratings
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Rating in categories
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292
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|  ₹3 L/yr - ₹8.6 L/yr |
|
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| ₹3 L/yr - ₹8 L/yr |
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96
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| ₹5 L/yr - ₹13 L/yr |
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