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PCA is a dimensionality reduction technique, decision tree is a classification algorithm, and computer vision is a field of study focused on enabling computers to interpret and understand visual information.
PCA is used to reduce the number of variables in a dataset while retaining the most important information.
Decision trees are used to classify data based on a set of rules and conditions.
Computer vision involves usin...
I applied via Company Website and was interviewed before Jan 2020. There was 1 interview round.
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 Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.
Basic python questions on pandas,numpy, and basic SQL questions on windows function like lag
I applied via Referral and was interviewed in May 2021. There were 3 interview rounds.
Python questions moderate to difficult
I am a data scientist with a background in statistics and machine learning.
I have a Master's degree in Data Science from XYZ University.
I have experience working with Python, R, and SQL for data analysis.
I have worked on projects involving predictive modeling and data visualization.
I am passionate about using data to drive business decisions and solve complex problems.
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