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I applied via Naukri.com and was interviewed in Aug 2024. There was 1 interview round.
Supervised learning is a type of machine learning where the model is trained on labeled data to make predictions or decisions.
Uses labeled data for training
Predicts outcomes based on input features
Examples include regression and classification algorithms
Unsupervised learning is a type of machine learning where the model is trained on unlabeled data without any predefined output labels.
No predefined output labels are provided for the training data
The model must find patterns and relationships in the data on its own
Common techniques include clustering and dimensionality reduction
Examples: K-means clustering, Principal Component Analysis (PCA)
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posted on 17 Sep 2024
posted on 17 May 2024
I applied via LinkedIn and was interviewed in Apr 2024. There was 1 interview round.
Precision = TP / (TP + FP), Recall = TP / (TP + FN)
Precision is the ratio of correctly predicted positive observations to the total predicted positive observations
Recall is the ratio of correctly predicted positive observations to the all observations in actual class
Example: If a model predicts 100 positive cases, out of which 80 are actually positive, precision = 80/100, recall = 80/total actual positive cases
R2 measures the proportion of variance explained by the model, while adjusted R2 adjusts for the number of predictors in the model.
R2 is the proportion of variance in the dependent variable that is predictable from the independent variables.
Adjusted R2 penalizes the addition of unnecessary predictors in the model, providing a more accurate measure of the model's goodness of fit.
R2 can increase even when adding irreleva...
posted on 18 Sep 2022
I applied via Campus Placement and was interviewed before Sep 2021. There was 1 interview round.
I am passionate about helping people protect their assets and loved ones through insurance.
I have a strong desire to help individuals and families plan for the unexpected.
I believe in the importance of financial security and peace of mind that insurance provides.
I am interested in the dynamic and evolving nature of the insurance industry.
I enjoy analyzing risks and finding solutions to mitigate them.
I have a background...
posted on 23 Jun 2023
I applied via Referral and was interviewed before Jun 2022. There was 1 interview round.
posted on 8 Aug 2022
5 people including in gd
All the questions are based on the MCQ , and the syllabus is covered python SQL Power BI
Some questions from the Pandas Data Frame scenario based
posted on 28 Sep 2023
I applied via Referral and was interviewed in Aug 2023. There were 3 interview rounds.
based on 1 interview
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