ETLhive Data Science Trainer Interview Questions and Answers

Pandas library functions are used for data manipulation and analysis in Python.

• Data manipulation functions like merge(), concat(), and pivot_table() are commonly used in pandas.

• Data analysis functions like groupby(), describe(), and value_counts() are also frequently used.

• Functions like read_csv() and to_csv() are used for reading and writing data from/to files.

Accuracy of ML model can be checked using metrics like confusion matrix, accuracy score, precision, recall, F1 score.

• Calculate confusion matrix to see true positives, true negatives, false positives, and false negatives.

• Use accuracy score to measure overall correctness of the model.

• Calculate precision to see the ratio of correctly predicted positive observations to the total predicted positives.

• Calculate recall to see ...read more

I am passionate about data science and enjoy sharing my knowledge with others.

• I have a strong background in data science and enjoy teaching others about the field.

• I find fulfillment in helping others develop their skills and succeed in their careers.

• I believe that this position will allow me to make a positive impact by training the next generation of data scientists.