Maxgen Technologies Data Science Intern Interview Questions and Answers

Q1. Questions based on my work experience, basic level of python coding (return counts for duplicate integers in a list), theory questions on basic DL (activation layers, time series)
Add your answer

Q1. Explain end to end ML project
Ans. 
End to end ML project involves data collection, preprocessing, model training, evaluation, and deployment.
• 1. Data collection: Gather relevant data from various sources.

• 2. Data preprocessing: Clean, transform, and prepare the data for modeling.

• 3. Model training: Develop and train machine learning models using the processed data.

• 4. Model evaluation: Assess the performance of the models using metrics like accuracy, precis...read more
Answered by AI
Add your answer

Q1. About CNN architecture and how it is relevant for textual data
Add your answer
Q2. Questions related to probability therom
Add your answer

Q1. What is r squared value
Ans. 
R-squared value is a statistical measure that represents the proportion of the variance in the dependent variable that is predictable from the independent variable(s).
• R-squared value ranges from 0 to 1, with 1 indicating a perfect fit.

• It is used to evaluate the goodness of fit of a regression model.

• A higher R-squared value indicates that the model explains a larger proportion of the variance in the dependent variable.

• F...read more
Answered by AI
Add your answer

I was given assigment on a simple problem where task was to analyse and create a working solution for a problem statement

Q1. What is bert algorithm? How does it work.
Ans. 
BERT (Bidirectional Encoder Representations from Transformers) is a pre-trained natural language processing model.
• BERT is a transformer-based machine learning algorithm developed by Google.

• It is designed to understand the context of words in a sentence by considering both the left and right context simultaneously.

• BERT has been pre-trained on a large corpus of text data and can be fine-tuned for specific NLP tasks like ...read more
Answered by AI
Add your answer
Q2. Can you explain regression in logistic regression?
Ans. 
Logistic regression is a type of regression analysis used to predict the probability of a binary outcome.
• Logistic regression is used when the dependent variable is binary (e.g. 0 or 1, yes or no).

• It estimates the probability that a given input belongs to a certain category.

• The output of logistic regression is transformed using a sigmoid function to ensure it falls between 0 and 1.

• It uses the logistic function to model ...read more
Answered by AI
Add your answer

Q1. Machine learning
Add your answer

Python , pandas, sql

MCQ, SQL Programming round --> 1 question , Python programming round --> 1 question, Data Science programming round --> 2 questions