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I applied via Company Website and was interviewed in Jul 2024. There were 5 interview rounds.
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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 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.
posted on 31 Mar 2024
I was interviewed in Oct 2023.
Based on topological sort
posted on 1 Jul 2024
Decision Trees are a popular machine learning algorithm used for classification and regression tasks.
Decision Trees are a tree-like structure where each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome.
They are easy to interpret and visualize, making them popular for exploratory data analysis.
Decision Trees can handle both numerical and c...
LLMs can be finetuned by adjusting hyperparameters, training on specific datasets, and using techniques like transfer learning.
Adjust hyperparameters such as learning rate, batch size, and number of layers to improve performance.
Train the LLM on domain-specific datasets to improve its understanding of specialized language.
Utilize transfer learning by starting with a pre-trained LLM model and fine-tuning it on a smaller...
posted on 13 Jun 2024
I applied via Company Website and was interviewed in May 2024. There was 1 interview round.
I applied via Campus Placement and was interviewed before Nov 2023. There were 2 interview rounds.
Detailed project discussion and 1 dsa
I applied via Company Website and was interviewed before Apr 2021. There were 3 interview rounds.
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