Filter interviews by
Clear (1)
Web Scrapping Assignment
Looker Studio Dashboarding
TF-IDF considers term frequency and inverse document frequency, while Bag of Words only counts word occurrences.
TF-IDF assigns weights to words based on their frequency in a document and across all documents.
Bag of Words represents text as a collection of words and their frequencies, ignoring the order of words.
TF-IDF is more advanced and takes into account the importance of words in a document, while Bag of Words is s
Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor generalization to new data, as the model is too specific to the training set.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
Example: A decision tree with too many b...
Bias is error due to overly simplistic assumptions, variance is error due to overly complex models.
Bias is error from erroneous assumptions in the learning algorithm, leading to underfitting.
Variance is error from too much complexity in the learning algorithm, leading to overfitting.
Bias and variance are inversely related - increasing one decreases the other.
Example: A linear regression model may have high bias but low...
I applied via Recruitment Consulltant and was interviewed in Jul 2022. There was 1 interview round.
Tokens in Postgres are the smallest unit of input that can be processed by the parser.
Tokens are used to identify and categorize the different parts of a SQL statement.
Examples of tokens include keywords, identifiers, operators, and literals.
The parser uses tokens to create a parse tree, which is used to execute the SQL statement.
Logistic regression is a type of classifier that uses a logistic function to model a binary dependent variable.
Logistic regression is a statistical method used to analyze a dataset in which there are one or more independent variables that determine an outcome.
It is called logistic regression because it uses a logistic function to model a binary dependent variable.
The logistic function is an S-shaped curve that can take...
I applied via Company Website and was interviewed before Feb 2023. There were 2 interview rounds.
Coding python and sql related
Top trending discussions
I applied via Naukri.com and was interviewed before Sep 2021. There were 2 interview rounds.
Question was moderate.based on logical reasoning and math.
Coding test question based on sql and python.
I applied via Recruitment Consultant and was interviewed in Aug 2020. There were 4 interview rounds.
I was interviewed before Nov 2016.
I applied via Naukri.com and was interviewed in Apr 2023. There were 3 interview rounds.
posted on 12 Jan 2024
Key features of Python programming include simplicity, readability, versatility, and extensive libraries.
Python is known for its simple and readable syntax, making it easy to learn and understand.
It is a versatile language that can be used for various purposes such as web development, data analysis, and artificial intelligence.
Python has a vast collection of libraries and frameworks that provide ready-to-use tools for ...
Pandas is a powerful data manipulation library in Python, used for data analysis and data wrangling tasks.
Pandas is a Python library that provides data structures and functions for efficient data manipulation.
It is widely used for tasks like data cleaning, transformation, and analysis.
Pandas offers powerful tools for handling structured data, such as CSV or Excel files.
It provides functionalities like filtering, sortin...
Seaborn is a high-level interface for statistical data visualization, while Matplotlib is a low-level library for creating basic plots.
Seaborn provides a more aesthetically pleasing and informative visual representation of data compared to Matplotlib.
Seaborn has built-in themes and color palettes that make it easier to create visually appealing plots.
Matplotlib offers more flexibility and control over plot customizatio...
based on 2 interviews
Interview experience
based on 7 reviews
Rating in categories
Data Science Trainee
153
salaries
| ₹0 L/yr - ₹0 L/yr |
Data Science Intern
50
salaries
| ₹0 L/yr - ₹0 L/yr |
Data Analyst
39
salaries
| ₹0 L/yr - ₹0 L/yr |
Data Scientist
31
salaries
| ₹0 L/yr - ₹0 L/yr |
Data Analyst Trainee
23
salaries
| ₹0 L/yr - ₹0 L/yr |
upGrad
Simplilearn
Great Learning
Jigsaw Academy