Digitas Data Scientist Interview Questions and Answers

Python and ML questions

Q1. Python ML SQL DA
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Q1. Explain the projects worked on previous companies and questions related to it
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Q2. Questions bases on time series algorithms
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Q1. DSA questions and python coding
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Q1. Machine learning depth
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Q1. Build a MMX Model for the dataset given and share the insights
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Build a MMX Model for a given dataset and share insights
• Preprocess the data by handling missing values and encoding categorical variables

• Split the data into training and testing sets

• Build the MMX model using appropriate algorithms like decision trees or random forests

• Evaluate the model using metrics like accuracy, precision, recall, and F1 score

• Interpret the model results to gain insights and make data-driven decisions
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Q2. How to evaluate Time series analysis
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Time series analysis can be evaluated by examining the accuracy of forecasts, the model's ability to capture trends and patterns, and the overall performance metrics.
• Evaluate forecast accuracy using metrics like Mean Absolute Error (MAE) or Root Mean Squared Error (RMSE)

• Assess the model's ability to capture trends and patterns by visualizing the data and comparing it to the model's predictions

• Analyze the overall perfor...read more
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Python and ML questions

Q1. Python ML SQL DA
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Q1. Explain the projects worked on previous companies and questions related to it
Add your answer
Q2. Questions bases on time series algorithms
Add your answer

Hacker Rank python coding test

Q1. Sql , python based questions
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Q1. SQL questions, Python questions basic
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Q1. Salary Discussion, negotiation mainly.
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