Remove Algorithm Remove Cross Validation Remove Decision Trees Remove Hypothesis Testing
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Top 10 Data Science Interviews Questions and Expert Answers

Pickl AI

Technical Proficiency Data Science interviews typically evaluate candidates on a myriad of technical skills spanning programming languages, statistical analysis, Machine Learning algorithms, and data manipulation techniques. Differentiate between supervised and unsupervised learning algorithms.

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Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

Techniques such as cross-validation, regularisation , and feature selection can prevent overfitting. Then, I would explore forecasting models such as ARIMA, exponential smoothing, or machine learning algorithms like random forests or gradient boosting to predict future sales.

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[Updated] 100+ Top Data Science Interview Questions

Mlearning.ai

An interdisciplinary field that constitutes various scientific processes, algorithms, tools, and machine learning techniques working to help find common patterns and gather sensible insights from the given raw input data using statistical and mathematical analysis is called Data Science. Decision trees are more prone to overfitting.