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I applied via LinkedIn and was interviewed before Jul 2023. There were 4 interview rounds.
Basic stat, sql, python, ML related questions
Give a group project and discuss about how you would do that
My favorite ML algorithm is Random Forest, as it is versatile, easy to use, and provides high accuracy.
Random Forest is an ensemble learning method that builds multiple decision trees and merges them together to get a more accurate and stable prediction.
It can handle both regression and classification tasks.
Random Forest is less prone to overfitting compared to individual decision trees.
It can handle large data sets wi...
Neural networks are a type of machine learning model inspired by the human brain, consisting of interconnected nodes that process information.
Neural networks consist of layers of interconnected nodes, each performing a specific function.
They use activation functions to introduce non-linearity into the model.
Neural networks learn by adjusting the weights of connections between nodes through a process called backpropagat...
In 5 years, I see myself as a seasoned Data Scientist leading innovative projects and mentoring junior team members.
Continuing to expand my knowledge and skills in data science through continuous learning and professional development opportunities
Taking on more leadership roles within the organization, such as leading project teams or mentoring junior data scientists
Contributing to cutting-edge research and development...
Top trending discussions
Code for parsing a triangle
Use a loop to iterate through each line of the triangle
Split each line into an array of numbers
Store the parsed numbers in a 2D array or a list of lists
The ASCII value is a numerical representation of a character. It includes both capital and small alphabets.
ASCII values range from 65 to 90 for capital letters A to Z.
ASCII values range from 97 to 122 for small letters a to z.
For example, the ASCII value of 'A' is 65 and the ASCII value of 'a' is 97.
I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.
Data science is the field of extracting insights and knowledge from data using various techniques and tools.
Data science involves collecting, cleaning, and analyzing data to extract insights.
It uses various techniques such as machine learning, statistical modeling, and data visualization.
Data science is used in various fields such as finance, healthcare, and marketing.
Examples of data science applications include fraud...
Python and R are programming languages commonly used in data science and statistical analysis.
Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.
R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.
Both languages are popular choices for data scientists and hav...
I applied via Recruitment Consultant and was interviewed in Mar 2021. There was 1 interview round.
I applied via Naukri.com and was interviewed in Nov 2023. There were 2 interview rounds.
SQL, select statment and DDL commands
posted on 19 Oct 2023
I applied via Recruitment Consulltant and was interviewed before Oct 2022. There were 3 interview rounds.
I applied via Naukri.com and was interviewed in Aug 2023. There were 2 interview rounds.
Confusion matrix is a table used to evaluate the performance of a classification model. P value is a measure of the strength of evidence against the null hypothesis. K-means is a clustering algorithm while decision tree is a classification algorithm.
Confusion matrix is a 2x2 table that shows the true positive, true negative, false positive, and false negative values of a classification model.
P value is the probability ...
NLP stands for Natural Language Processing, while CNN refers to Convolutional Neural Networks.
NLP is a branch of artificial intelligence that focuses on the interaction between computers and humans using natural language.
CNN is a type of deep learning algorithm commonly used for image recognition and classification tasks.
CNNs are also used in NLP for tasks like text classification and sentiment analysis.
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