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I appeared for an interview before Oct 2019.
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I applied via LinkedIn and was interviewed before Aug 2021. There were 2 interview rounds.
A decision tree is a flowchart-like model that shows the possible outcomes of a decision based on certain conditions.
It is a tree-like structure with nodes representing decisions and branches representing outcomes
Each node has a condition that determines which branch to follow
It is commonly used in machine learning for classification and regression tasks
Example: A decision tree for predicting whether a customer will bu...
Random forest is an ensemble learning method for classification, regression and other tasks.
Random forest builds multiple decision trees and combines their outputs to improve accuracy.
It is a popular machine learning algorithm due to its high accuracy and ability to handle large datasets.
Random forest can be used for both classification and regression tasks.
It is resistant to overfitting and can handle missing data.
Exa...
Neural network is a type of machine learning algorithm inspired by the structure and function of the human brain.
Consists of layers of interconnected nodes that process information
Used for tasks such as image recognition, natural language processing, and prediction
Can be trained using supervised, unsupervised, or reinforcement learning
Examples include convolutional neural networks, recurrent neural networks, and deep n
Leetcode style coding
I appeared for an interview before Feb 2023.
ACF measures the linear relationship between an observation and its lagged values. PACF measures the direct relationship.
ACF (Autocorrelation Function) measures the correlation between an observation and its lagged values.
PACF (Partial Autocorrelation Function) measures the correlation between an observation and its lagged values, while removing the indirect effects of intermediate lags.
ACF is used to identify the orde...
posted on 2 Jan 2025
Basic python questions
I applied via Naukri.com and was interviewed before Feb 2023. There were 3 interview rounds.
15 statistical and logical questions
2 easy to medium coding problmes. e.g. swapping the array.
Regression is a statistical method used to analyze the relationship between variables and predict outcomes.
Regression models the relationship between a dependent variable and one or more independent variables.
It works by finding the best-fit line that minimizes the sum of squared differences between the actual and predicted values.
Examples include linear regression, polynomial regression, and logistic regression.
I applied via Referral and was interviewed in Nov 2023. There were 2 interview rounds.
Ml algorithms ,deeplearning, nlp questioons and projects
Python basic codeing
I applied via Campus Placement and was interviewed before Jul 2023. There were 3 interview rounds.
I got selected through my campus. I got behavioural and aptitude questions for 1 hour
C # MCQs are asked in this round
I applied via LinkedIn and was interviewed before Dec 2022. There were 3 interview rounds.
I applied via Naukri.com and was interviewed in Oct 2024. There were 2 interview rounds.
It was simple but lengthy
I am a data analyst with a strong background in statistics and data visualization.
Graduated with a degree in Statistics
Proficient in programming languages like Python and R
Experience in analyzing large datasets and creating data visualizations
Strong problem-solving skills
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