Chetu Machine Learning Software Engineer Interview Questions, Process, and Tips

Mcq on sql, python, syntax, english sentence

Q1. Question on dictionary
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Q2. Question on data leakage, bias variance trade off,
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Q1. Build xg bost model(actaul code)
Ans. 
Building an xgboost model involves training a gradient boosting algorithm for classification or regression tasks.
• Install xgboost library using pip install xgboost

• Import necessary libraries like xgboost, numpy, and pandas

• Prepare the data by splitting into training and testing sets

• Instantiate an xgboost classifier or regressor object

• Fit the model on the training data using the fit method

• Make predictions on the test data
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Q2. Create the virtual environment using cmd.
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Q3. Remove space from given dataframe and concat the first and last name and add new column to dataframe.
Ans. 
Remove spaces from dataframe, concatenate first and last name, and add new column.
• Use str.replace() to remove spaces from dataframe columns.

• Use str.cat() to concatenate first and last name.

• Use df['new_column'] = concatenated_names to add new column.
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Q4. Create simple ANN network using Tensorflow.
Ans. 
Creating a simple Artificial Neural Network (ANN) using Tensorflow.
• Import the necessary libraries like tensorflow and numpy.

• Define the input layer, hidden layers, and output layer.

• Compile the model with appropriate loss function and optimizer.

• Train the model using training data.

• Evaluate the model using test data.
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Q1. Salary discussion?
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Q2. Asking to come to office location noida to received offer letter
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Q3. No clarity on what CTC they are offering.
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