C5i Interview Questions and Answers

Q1. Explain previous work experience
Add your answer
Q2. How statistical methods were used in my previous work experience
Add your answer

Q1. How to evaluate ML models ? Difference between Bagging and Boosting ? What is F1 score and how change weights of Precision or recall while calculating F1 score ? What does it mean to have F1 score value 1 ...read more
Ans. 
ML models can be evaluated using metrics like accuracy, precision, recall, F1 score. Bagging combines multiple models, while boosting focuses on correcting errors. F1 score balances precision and recall.
• ML models can be evaluated using metrics like accuracy, precision, recall, and F1 score.

• Bagging is an ensemble technique where multiple models are trained independently and then combined by averaging or voting.

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

Q1. What is proba method ? How is class probability calculated in decision trees ? How's a machine learning model evaluated ?
Ans. 
Proba method is used to calculate class probability in decision trees. Machine learning models are evaluated using metrics like accuracy, precision, recall, and F1 score.
• Proba method calculates the probability of a class label in decision trees by counting the occurrences of each class in a leaf node and dividing by the total number of samples in that node.

• Class probability in decision trees is calculated based on the ...read more
Answered by AI
Add your answer

Q1. How you delegate work to your peers
Add your answer
Q2. Anything about the project you did
Add your answer

Questions based on ML,PYTHON, DATA VISUALIZATION

Q1. What is TF-IDF IN NLP
Ans. 
TF-IDF is a numerical statistic that reflects the importance of a word in a document relative to a collection of documents.
• TF-IDF stands for Term Frequency-Inverse Document Frequency

• It is used in Natural Language Processing (NLP) to determine the importance of a word in a document

• TF-IDF is calculated by multiplying the term frequency (TF) by the inverse document frequency (IDF)

• It helps in identifying the most important...read more
Answered by AI
Add your answer
Q2. Python coding questions based on list
Add your answer

Q1. Data modeling process
Add your answer
Q2. Query performance optimisation
Add your answer

Q1. What are SQL Joins
Ans. 
SQL Joins are used to combine records from two or more tables based on related columns.
• INNER JOIN: Returns records with matching values in both tables. Example: SELECT * FROM A INNER JOIN B ON A.id = B.id;

• LEFT JOIN: Returns all records from the left table and matched records from the right table. Example: SELECT * FROM A LEFT JOIN B ON A.id = B.id;

• RIGHT JOIN: Returns all records from the right table and matched records...read more
Answered by AI
Add your answer