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Medium level python question
Conceptual question on ML and CV
I applied via Job Fair and was interviewed in May 2024. There were 3 interview rounds.
They gave a span of 3 days to build an AI-powered webapp
I have experience working with cloud technologies such as AWS, Azure, and Google Cloud Platform.
Experience in setting up and managing virtual machines, storage, and networking in cloud environments
Knowledge of cloud services like EC2, S3, RDS, and Lambda
Experience with cloud-based data processing and analytics tools like AWS Glue and Google BigQuery
Developed a predictive model for customer churn in a telecom company
Collected and cleaned customer data from various sources
Performed exploratory data analysis to identify key factors influencing churn
Built and fine-tuned machine learning models to predict customer churn
Challenges included imbalanced data, feature engineering, and model interpretability
posted on 27 Jun 2024
I was interviewed in May 2024.
Maths and stats refer to the study of mathematical concepts and statistical methods for analyzing data.
Maths involves the study of numbers, quantities, shapes, and patterns.
Stats involves collecting, analyzing, interpreting, and presenting data.
Maths is used to solve equations, calculate probabilities, and model real-world phenomena.
Stats is used to make informed decisions, draw conclusions, and test hypotheses.
Both ma...
Confusion matrix what are your job rolls explain me Gradient boosting algorithm?
I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.
posted on 6 May 2024
I applied via Recruitment Consulltant and was interviewed in Apr 2024. There was 1 interview round.
I applied via Recruitment Consulltant and was interviewed in May 2023. There were 3 interview rounds.
Machine learning algorithms are used to train models on data to make predictions or decisions.
Supervised learning algorithms include linear regression, decision trees, and neural networks.
Unsupervised learning algorithms include clustering and dimensionality reduction.
Reinforcement learning algorithms involve learning through trial and error.
Examples of machine learning applications include image recognition, natural l
posted on 7 Oct 2023
Basic DP, Array Questions
posted on 9 May 2023
I applied via Recruitment Consulltant and was interviewed in Nov 2022. There were 2 interview rounds.
There are various ML algorithms such as linear regression, decision trees, random forests, SVM, KNN, neural networks, etc.
Linear regression is used for predicting continuous values
Decision trees and random forests are used for classification and regression
SVM is used for classification and regression
KNN is used for classification and regression
Neural networks are used for complex problems such as image recognition and
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