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XGBoost is a popular machine learning algorithm known for its speed and performance in gradient boosting.
XGBoost stands for eXtreme Gradient Boosting.
It is an implementation of gradient boosted decision trees designed for speed and performance.
XGBoost is widely used in machine learning competitions and has become a popular choice for data scientists.
It can handle missing data and is optimized for parallel processing.
XG...
Decision tree is a predictive modeling tool that uses a tree-like graph of decisions and their possible consequences.
Decision tree is a supervised learning algorithm used for classification and regression tasks.
It breaks down a dataset into smaller subsets based on different attributes.
Each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome...
I applied via Referral and was interviewed in May 2022. 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 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...
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 applied via Naukri.com and was interviewed before Feb 2023. There were 3 interview rounds.
posted on 2 Jan 2025
Basic python questions
posted on 5 Jun 2024
I applied via Naukri.com and was interviewed before Jun 2023. There were 2 interview rounds.
SQL coding and MCQ duration 45 min
1 hour baisc on general aptitude
based on 1 interview
Interview experience
based on 2 reviews
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