IXAR Interview Questions, Process, and Tips

Sliding window leet code style

Computer vision task. Image segmentation

Q1. What was the algorithm you used in the task
Ans. 
I used the Random Forest algorithm for the task.
• Random Forest is an ensemble learning method that builds multiple decision trees and merges them together to get a more accurate and stable prediction.

• It is commonly used for classification and regression tasks.

• Example: RandomForestClassifier in scikit-learn library.
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Q2. What are metrics you can use for this task
Ans. 
Metrics for evaluating machine learning tasks
• Accuracy

• Precision

• Recall

• F1 Score

• ROC AUC

• Confusion Matrix
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Q1. A presentation of a past project with followup questions
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Q2. Some questions on text classification
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Q1. Whats ur name and what ur exp.
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Q2. How are you, about some technical question thats all
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Q1. Questions about AWS services
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Q2. Data manipulation using Python
Ans. 
Python is commonly used for data manipulation tasks due to its powerful libraries like Pandas and NumPy.
• Use Pandas library for data manipulation tasks in Python

• Pandas provides data structures like DataFrame for easy manipulation

• Use NumPy for numerical operations on data arrays

• Example: df['new_column'] = df['column1'] + df['column2']
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