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posted on 18 Sep 2024
I am a detail-oriented data analyst with a strong background in statistics and programming.
Graduated with a degree in Statistics
Proficient in programming languages such as Python and R
Experience in analyzing and interpreting data sets
Strong attention to detail and problem-solving skills
I have a strong analytical background, excellent problem-solving skills, and a passion for data-driven decision making.
I have a degree in Statistics and experience with data analysis tools such as Python and SQL.
I have successfully completed projects where I identified trends and patterns in data to drive business decisions.
I am a quick learner and have a strong attention to detail, ensuring accuracy in my analysis.
I applied via Referral and was interviewed before Aug 2023. There was 1 interview round.
Overfitting occurs when a model learns the training data too well, leading to poor performance on new, unseen data.
Overfitting occurs when a model is too complex and captures noise in the training data.
It can be identified when a model performs well on training data but poorly on test data.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
Example: A decision tree with too ma...
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