Filter interviews by
I applied via Campus Placement and was interviewed in Mar 2024. There were 2 interview rounds.
32 questions in 45 mins
Classification metric is a measure used to evaluate the performance of a classification model.
Classification metrics include accuracy, precision, recall, F1 score, ROC-AUC, etc.
Accuracy measures the proportion of correct predictions out of the total predictions.
Precision measures the proportion of true positive predictions out of all positive predictions.
Recall measures the proportion of true positive predictions out o...
I applied via Approached by Company and was interviewed in Mar 2024. There were 2 interview rounds.
It was easy and simple
Data science is a field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
Data science involves collecting, analyzing, and interpreting large amounts of data to solve complex problems.
It combines statistics, machine learning, data visualization, and domain expertise to make data-driven decisions.
Examples of data science applications include pre...
I applied via Campus Placement and was interviewed in Oct 2021. There were 4 interview rounds.
Top trending discussions
I applied via Recruitment Consultant and was interviewed in Sep 2020. There were 3 interview rounds.
I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
I applied via Campus Placement and was interviewed in Apr 2023. There were 3 interview rounds.
Java script, angular js, node questions
Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data.
Supervised learning requires a target variable for training the model.
Examples of supervised learning include classification and regression.
Unsupervised learning finds patterns and relationships in data without a target variable.
Examples of unsupervised learning include clustering and dimensionality reduction.
Sigmoid function is a mathematical function that maps any real value to a value between 0 and 1.
Used in machine learning for binary classification problems to produce probabilities
Commonly used in logistic regression
Has an S-shaped curve
Equation: f(x) = 1 / (1 + e^(-x))
I applied via Naukri.com and was interviewed in Jul 2024. There was 1 interview round.
Context window in LLMs refers to the number of surrounding words considered when predicting the next word in a sequence.
Context window helps LLMs capture dependencies between words in a sentence.
A larger context window allows the model to consider more context but may lead to increased computational complexity.
For example, in a context window of 2, the model considers 2 words before and 2 words after the target word fo
top_k parameter is used to specify the number of top elements to be returned in a result set.
top_k parameter is commonly used in machine learning algorithms to limit the number of predictions or recommendations.
For example, in recommendation systems, setting top_k=5 will return the top 5 recommended items for a user.
In natural language processing tasks, top_k can be used to limit the number of possible next words in a
Regex patterns in Python are sequences of characters that define a search pattern.
Regex patterns are used for pattern matching and searching in strings.
They are created using the 're' module in Python.
Examples of regex patterns include searching for email addresses, phone numbers, or specific words in a text.
Iterators are objects that allow iteration over a sequence of elements. Tuples are immutable sequences of elements.
Iterators are used to loop through elements in a collection, like lists or dictionaries
Tuples are similar to lists but are immutable, meaning their elements cannot be changed
Example of iterator: for item in list: print(item)
Example of tuple: my_tuple = (1, 2, 3)
Yes, I have experience working with REST APIs in various projects.
Developed RESTful APIs using Python Flask framework
Consumed REST APIs in data analysis projects using requests library
Used Postman for testing and debugging REST APIs
based on 2 interviews
Interview experience
based on 3 reviews
Rating in categories
Machine Learning Scientist
36
salaries
| ₹3.2 L/yr - ₹6.5 L/yr |
Data Analyst
24
salaries
| ₹4 L/yr - ₹8.2 L/yr |
Data Scientist
17
salaries
| ₹3.7 L/yr - ₹7 L/yr |
Machine Learning Engineer
11
salaries
| ₹3.6 L/yr - ₹5.5 L/yr |
Data Engineer
6
salaries
| ₹4.7 L/yr - ₹9.3 L/yr |
TCS
Accenture
Wipro
Cognizant