Python & Machine Learning Interview Questions | AI/ML Engineer

Описание: 📌 *Python & Machine Learning Interview Questions | AI/ML Engineer | IDFC Bank*
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This video covers *important Python and Machine Learning interview questions* commonly asked for *AI/ML Engineer roles in the Banking domain**, including interviews at **IDFC Bank* and other BFSI organizations.

The questions focus on *Python fundamentals, data handling, machine learning models, performance optimization, and regulatory challenges* relevant to real-world banking use cases.

🔹 *Topics Covered:*

Difference between *List, Tuple, and Set* (performance & memory)
*Python memory management* and *garbage collection*
Optimizing performance for *large CSV and Excel datasets*
Handling *missing values* in banking datasets
*Cross-validation* and common validation techniques
*OCR technology* for document processing (KYC, forms, statements)
*Noise removal techniques* before OCR
Experience in *Data Analytics & Banking domain*
*Python classification models* used in banking (fraud detection, credit risk)
Tools used in *AI/ML projects*
*Logistic Regression vs Decision Trees*
Handling *non-linear and complex patterns*
*Imbalanced datasets* and solutions
*Precision, Recall, and F2 Score* for banking use cases
Ensuring *reproducible ML notebooks*
Challenges in *regulatory and compliance reporting*
Automating *banking reports using Python*
Why *NumPy operations are faster than Python lists*
*NumPy broadcasting*
*List comprehension*
*Python decorators*

🎯 *Who should watch?*

AI/ML Engineers
Python Developers
Data Scientists
Banking & BFSI professionals
Candidates preparing for *IDFC Bank interviews*

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📩 Comment if you want **detailed explanations, real banking case studies, or mock interviews**.

#IDFCBank #AIMLEngineer #PythonInterview #BankingAI #MachineLearning #FraudDetection #CreditRisk #BFSI