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Random forest is an ensemble learning algorithm that combines multiple decision trees to make predictions.
Random forest is a supervised learning algorithm used for classification and regression tasks.
It creates a multitude of decision trees and combines their predictions to make a final prediction.
Each decision tree is trained on a random subset of the training data and features.
Random forest reduces overfitting by ave...
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I applied via Recruitment Consulltant and was interviewed in May 2024. There was 1 interview round.
Contained 3 coding question and 10 mcq on stats, ML and SQL, They asked to complete in 1hr to get shortlisted for next round. Then next round didn't happen
I applied via LinkedIn
Hackerrank statistics and dsa
I applied via Company Website and was interviewed in May 2024. There were 3 interview rounds.
Hackerrank assignment with 2 coding and couple mullt-choice questions.
Talked to hiring manager about a system design related to computer vision.
Design a ML model for filtering choices on a website.
Collect user data on preferences and behavior
Use collaborative filtering or content-based filtering algorithms
Implement a recommendation system to suggest choices based on user data
Regularly update the model with new data for improved accuracy
I applied via Recruitment Consulltant and was interviewed in May 2024. There was 1 interview round.
Contained 3 coding question and 10 mcq on stats, ML and SQL, They asked to complete in 1hr to get shortlisted for next round. Then next round didn't happen
I applied via LinkedIn
Hackerrank statistics and dsa
posted on 30 Jan 2024
posted on 27 Jun 2023
Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data. K-means clustering is a type of unsupervised learning algorithm. KNN is a supervised learning algorithm. SQL joins are used to combine data from multiple tables.
Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data
K-means clustering is a type of unsupervised learning...
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