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I applied via Naukri.com and was interviewed in Oct 2022. There were 2 interview rounds.
Measures of Dispersion are used to describe the spread of data around the central tendency.
Measures of Dispersion include Range, Variance, Standard Deviation, and Interquartile Range.
Range is the difference between the maximum and minimum values in a dataset.
Variance measures how far each value is from the mean.
Standard Deviation is the square root of the variance.
Interquartile Range is the difference between the 75th
Linear regression is used for continuous data while logistic regression is used for categorical data.
Linear regression predicts a continuous outcome while logistic regression predicts a probability of an event occurring.
Linear regression uses a straight line to fit the data while logistic regression uses an S-shaped curve.
Linear regression is used for predicting values like house prices while logistic regression is use...
Feature selection is the process of selecting relevant features from a dataset, while feature engineering involves creating new features.
Feature selection helps to reduce the dimensionality of the dataset and improve model performance.
Feature engineering involves transforming or combining existing features to create new ones that may be more informative.
Examples of feature engineering include creating interaction terms...
Gradient Descent is an optimization algorithm used to minimize the cost function of a machine learning model.
Gradient Descent is used in machine learning to find the optimal parameters of a model by minimizing the cost function
It works by iteratively adjusting the parameters in the direction of steepest descent of the cost function
There are two types of Gradient Descent: Batch Gradient Descent and Stochastic Gradient D...
There are three types of machine learning: supervised, unsupervised, and reinforcement learning.
Supervised learning involves training a model on labeled data to make predictions on new data. Example: predicting house prices based on features like location, size, etc.
Unsupervised learning involves finding patterns in unlabeled data. Example: clustering customers based on their purchasing behavior.
Reinforcement learning ...
I applied via Approached by Company and was interviewed in Apr 2024. There was 1 interview round.
SQL and python questions are very easy.
I applied via Referral and was interviewed before Jan 2023. There were 3 interview rounds.
General knowledge
English knowledge
posted on 13 Oct 2023
An IP address is a unique numerical label assigned to each device connected to a computer network.
IP addresses are used to identify and locate devices on a network.
There are two types of IP addresses - IPv4 and IPv6.
IPv4 addresses are written in the form of four sets of numbers separated by periods (e.g. 192.168.1.1).
IPv6 addresses are written in a hexadecimal format and are longer than IPv4 addresses.
IP addresses can ...
Why should we hire you
I am a data analyst with a strong background in statistics and programming.
Proficient in statistical analysis and data visualization using tools like Python and R
Experienced in cleaning and transforming large datasets for analysis
Skilled in creating insightful reports and presentations to communicate findings
Strong problem-solving and critical thinking skills
Ability to work collaboratively in a team and meet deadlines
I applied via Campus Placement and was interviewed before Sep 2021. There were 4 interview rounds.
The aptitude test consists of MCQ on computer technicals , english, verbals, etc as like usual aptitude test. Also it includes 2-3 sql queries to solve as well as 1-2 coding questions with easy to medium level difficulty.
I applied via Job Portal
Provided sales case study, asked to analyse the same ans provide insights
I applied via Company Website and was interviewed in Aug 2021. There were 4 interview rounds.
based on 1 interview
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