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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
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...
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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.
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...
posted on 24 May 2024
Hacker Rank which will contain some MCQ and 1 python problem
I applied via Recruitment Consulltant and was interviewed before Jul 2022. There were 4 interview rounds.
I am aware of various e-learning authoring tools such as Articulate Storyline, Adobe Captivate, and Camtasia.
Articulate Storyline
Adobe Captivate
Camtasia
I applied via Recruitment Consultant and was interviewed before Aug 2020. There were 3 interview rounds.
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
posted on 6 Jan 2025
I applied via Referral and was interviewed in Dec 2024. There was 1 interview round.
Basic data structure coding.
posted on 7 Sep 2023
ML DL Question plus 1 dsa question
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.
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...
posted on 15 Mar 2024
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
posted on 19 Oct 2023
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
based on 1 review
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