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I applied via LinkedIn and was interviewed before May 2023. There were 2 interview rounds.
Pandas based assignment, a dummy dataset was given with three different files, there were few questions where mostly pandas was required.
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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 in Nov 2023. There was 1 interview round.
I applied via Naukri.com and was interviewed in Jun 2022. There were 3 interview rounds.
I applied via Company Website and was interviewed in Jan 2024. There was 1 interview round.
It was good , basic projects and coding was asked
I applied via Recruitment Consulltant and was interviewed before Apr 2023. There were 2 interview rounds.
Different splitting criteria in decision trees include Gini impurity, entropy, and misclassification error. Random forest works better due to ensemble learning and reducing overfitting.
Splitting criteria in decision trees: Gini impurity, entropy, misclassification error
Random forest works better due to ensemble learning and reducing overfitting
Random forest combines multiple decision trees to improve accuracy and gener...
To generate embeddings on a data set, preprocess the data, choose a suitable embedding method, train the model, and extract the embeddings.
Preprocess the data by cleaning, tokenizing, and normalizing text data.
Choose a suitable embedding method such as Word2Vec, GloVe, or FastText.
Train the embedding model on the preprocessed data to learn the embeddings.
Extract the embeddings from the trained model to represent the da...
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