Chetu Data Scientist and Machine Learning Engineer Interview Questions and Answers

Q1. Train a Decision Tree based on dataset provided?
Ans. 
Train a Decision Tree based on provided dataset.
• Preprocess the dataset by handling missing values and encoding categorical variables.

• Split the dataset into training and testing sets.

• Train the Decision Tree model on the training set.

• Evaluate the model's performance on the testing set using metrics like accuracy or F1 score.
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Q2. How can you do feature selection?
Ans. 
Feature selection can be done using techniques like filter methods, wrapper methods, and embedded methods.
• Filter methods involve selecting features based on statistical measures like correlation, chi-squared test, etc.

• Wrapper methods use a specific machine learning algorithm to evaluate the importance of features through iterative selection.

• Embedded methods incorporate feature selection within the model training proces...read more
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Hacker Rank which will contain some MCQ and 1 python problem

Q1. Based Machine Learning , NLP and Gen AI
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ML DL Question plus 1 dsa question

Q1. It was technical interview based on projects plus stats, ml aggorithms, dl alhoriths , intutions behind them, maths behind all ml algorithms etc.
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Consist 39 mcq 1 dsa

Q1. Started with resume discussed project then then went into deep concept of ml model and their math intution behind them, stats , hyperparameter tuning, accuracy score, r2 f1, precison recall, regularisa...read more
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Given two problem statements based on OCR and NLP application

Q1. Main focus is on OCR technologies and how they work. NLP is secondary
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