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Three questions involving normal dsa
I was interviewed in Feb 2025.
I applied via Naukri.com and was interviewed in Aug 2023. There were 3 interview rounds.
Q. 1 Using Python, How can we extract 3-grams from the given document and obtain a list of the generated 3-gram phrases
Q. 2 You are given an integer array containing distinct numbers and you can perform the following operations until the array is empty : if the first element has the smallest value, remove it. otherwise , put the element at the end of the array. Return an integer denoting the number of operations it takes to make nums empty.
Example: Input nums = [3,4,-1]
Output:5
Operation Array
1 [4,3,-1]
2 [-1,3,4]
3 [3,4]
4 [4]
5 []
Q.3 Write a python Code to initialize k cluster centroids for the k-means clustering algorithm using a random dataset.
Q. 4 Write a python function that takes as input and performs stop word removal, stemming, and tokenization. The function should return a list of processed tokens.
Q. 5 Given an integer array nums, move all the even integers at the beginning of the array followed by all the odd integers. Return any array that satisfies this condition.
Input = [3,1,2,4]
expected Output = [2,4,1,3]
Q. 3
I applied via Naukri.com and was interviewed in Mar 2023. There were 3 interview rounds.
Valere Labs interview questions for popular designations
I applied via Approached by Company and was interviewed before Oct 2022. There were 3 interview rounds.
Top trending discussions
I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.
Discussion on Gradient, SGD, K Mean ++, Silhouette Score, How to Handle High Variation Data,
Coding asked to code KNN, Hyper-Parameter Tuning, Two Difficult Questions on Coding...DSA Based Stumped on Those.
Verdict... Not Selected
Simple Coding No Chat GPT Support Should Be There
Pre-processing steps involve cleaning, transforming, and preparing data for machine learning models.
Data cleaning: removing missing values, duplicates, and outliers
Data transformation: scaling, encoding categorical variables, and feature engineering
Data normalization: ensuring all features have the same scale
Data splitting: dividing data into training and testing sets
Lemmatization is the process of reducing words to their base or root form.
Lemmatization helps in standardizing words for analysis.
It reduces inflected words to their base form.
For example, 'running' becomes 'run' after lemmatization.
I applied via Company Website and was interviewed before Dec 2020. There were 4 interview rounds.
I applied via Referral and was interviewed before Jan 2021. There were 4 interview rounds.
There are several tools available for content authoring, depending on the type of content and the level of expertise.
For beginners, tools like Grammarly and Hemingway can help with grammar and readability.
For more advanced users, Adobe Creative Suite and Microsoft Office are popular options.
Content management systems like WordPress and Drupal are also useful for creating and managing content.
Collaboration tools like Go...
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