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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.
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I applied via Company Website and was interviewed before Jan 2020. There was 1 interview round.
I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.
Data science is the field of extracting insights and knowledge from data using various techniques and tools.
Data science involves collecting, cleaning, and analyzing data to extract insights.
It uses various techniques such as machine learning, statistical modeling, and data visualization.
Data science is used in various fields such as finance, healthcare, and marketing.
Examples of data science applications include fraud...
Python and R are programming languages commonly used in data science and statistical analysis.
Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.
R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.
Both languages are popular choices for data scientists and hav...
I applied via LinkedIn and was interviewed in Aug 2024. There were 2 interview rounds.
More of coding questions
Hack rank coding, timed test, any language
I applied via Recruitment Consultant and was interviewed in Sep 2021. There were 3 interview rounds.
There are several algorithms used for classification, including decision trees, logistic regression, k-nearest neighbors, and support vector machines.
Decision trees: a tree-like model where each internal node represents a test on an attribute, each branch represents the outcome of the test, and each leaf node represents a class label
Logistic regression: a statistical method that uses a logistic function to model a bina...
I was interviewed 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...
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