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Basic Leetcode Questions
IF-IDF stands for Inverse Document Frequency - Term Frequency. It is used in information retrieval to measure the importance of a term in a document.
IF-IDF is a numerical statistic that reflects how important a word is to a document in a collection or corpus.
It is calculated by multiplying the term frequency (TF) by the inverse document frequency (IDF) of the term.
IF-IDF helps in identifying the most relevant words in ...
Machine learning model is a type of artificial intelligence that allows computers to learn from data and make predictions or decisions.
Machine learning models are trained on large datasets to identify patterns and relationships.
There are different types of machine learning models such as supervised, unsupervised, and reinforcement learning.
Supervised learning models are trained on labeled data to make predictions on ne...
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I applied via campus placement at National Institute of Technology (NIT), Warangal
1 hour aptitude test
I applied via Referral and was interviewed before May 2023. There were 2 interview rounds.
I applied via campus placement at National Institute of Technology (NIT), Rourkela and was interviewed in Jun 2024. There were 2 interview rounds.
Simple Aptitude questions, Data interpretation and verbal
The candidate is asked to code in SQL and Python at a moderate level.
Use SQL to query data from databases
Use Python to manipulate and analyze data
Practice writing SQL queries and Python scripts
I applied via Referral and was interviewed before May 2023. There were 2 interview rounds.
I applied via Approached by Company and was interviewed before Nov 2023. There were 2 interview rounds.
It was basic with puzzles and sql
Case study about a pharma company entering a new market, customer segmentation and also past projects discussion.
Basic Python , numpy and pandas MCQ and easy coding question
Basic ML Case interview. Asked to find "How check if a promotion was successful"
I applied via campus placement at Indian Institute of Technology (IIT), Jodhpur and was interviewed in Feb 2021. There was 1 interview round.
Estimating the number of WhatsApp users worldwide requires a combination of data sources and statistical methods.
Collect data from WhatsApp's official reports and announcements
Use third-party analytics tools to estimate user numbers
Analyze demographic and geographic trends to extrapolate global user numbers
Consider factors such as population growth and smartphone adoption rates
Compare with similar messaging apps to val
I will start by understanding the data source and its quality, then clean and preprocess the data before performing exploratory data analysis.
Understand the data source and its quality
Clean and preprocess the data
Perform exploratory data analysis
Identify patterns and trends in the data
Use statistical methods to analyze the data
Visualize the data using graphs and charts
Iterate and refine the analysis as needed
I was interviewed before Mar 2023.
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