Remove Cross Validation Remove Decision Trees Remove EDA Remove Python
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Top 10 Data Science Interviews Questions and Expert Answers

Pickl AI

Here are some key areas often assessed: Programming Proficiency Candidates are often tested on their proficiency in languages such as Python, R, and SQL, with a focus on data manipulation, analysis, and visualization. What is cross-validation, and why is it used in Machine Learning? Here is a brief description of the same.

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Large Language Models: A Complete Guide

Heartbeat

It is also essential to evaluate the quality of the dataset by conducting exploratory data analysis (EDA), which involves analyzing the dataset’s distribution, frequency, and diversity of text. Use a representative and diverse validation dataset to ensure that the model is not overfitting to the training data.