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I applied via Recruitment Consulltant and was interviewed before Jun 2023. There were 2 interview rounds.
Merging two dataframes involves combining them based on a common column or index.
Use the merge() function in pandas to merge two dataframes.
Specify the common column or index to merge on.
Choose the type of join (inner, outer, left, right) based on your requirements.
I applied via Campus Placement and was interviewed before May 2023. There were 2 interview rounds.
This test consists of some coding MCQ +quantitative aptitude and logical reasoning etc.
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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It consisted of a single coding question.
Accenture interview questions for designations
Get interview-ready with Top Accenture Interview Questions
I applied via Approached by Company and was interviewed before Apr 2023. There were 2 interview rounds.
I applied via Campus Placement and was interviewed in Jun 2022. There were 2 interview rounds.
Ask simple question
I applied via Walk-in and was interviewed before Apr 2022. There were 3 interview rounds.
Aptitude test on quant and basic programming language.
I applied via Company Website and was interviewed in Aug 2021. There was 1 interview round.
The choice of ML model depends on the problem, data, and desired outcome.
Consider the problem type: classification, regression, clustering, etc.
Analyze the data: size, quality, features, and target variable.
Evaluate model performance: accuracy, precision, recall, F1-score.
Consider interpretability, scalability, and computational requirements.
Experiment with multiple models: decision trees, SVM, neural networks, etc.
Use...
I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
Some of the top questions asked at the Accenture Data Scientist interview -
The duration of Accenture Data Scientist interview process can vary, but typically it takes about less than 2 weeks to complete.
based on 31 interviews
3 Interview rounds
based on 72 reviews
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