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Topic | Text Material | Image content | Video content | Quiz |
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Interview Questions & Answers in Data Science | ![]() |
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What is Pandas and How is it Used in Data Analysis? | ![]() |
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How do you create a DataFrame in pandas? | ![]() |
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What is the difference between Series and DataFrame in pandas? | ![]() |
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How do you read data from a CSV file into a pandas DataFrame? | ![]() |
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How do you handle missing data in pandas? | ![]() |
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How can you select a subset of a DataFrame based on conditions? | ![]() |
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What is the difference between loc and iloc in pandas? | ![]() |
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How do you merge/join DataFrames in pandas? | ![]() |
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How do you group data in pandas and perform aggregation? | ![]() |
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How do you pivot and unpivot a DataFrame in pandas? | ![]() |
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What is Data Science? | ![]() |
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What is Overfitting? | ![]() |
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What is Underfitting? | ![]() |
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What are Eigenvectors and Eigenvalues? | ![]() |
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What are Confounding Variables? | ![]() |
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What is Selection Bias? | ![]() |
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What is Bias-Variance Trade-Off? | ![]() |
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What is Confusion Matrix? | ![]() |
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What is Logistic Regression? | ![]() |
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What is Linear Regression? | ![]() |
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What is Generative Adversarial Network? | ![]() |
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Define supervised & unsupervised learning | ![]() |
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Describe about bias-variance tradeoff. | ![]() |
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What is regularization and why is it useful? | ![]() |
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What is the curse of dimensionality? | ![]() |
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Explain about cross-validation. | ![]() |
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Define mean, median, and mode. | ![]() |
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What is the central limit theorem? | ![]() |
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Explain p-value and significance level. | ![]() |
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What is a confidence interval? | ![]() |
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This article explores frequently asked Datascience interview questions and answers. If you aim to take a Datascience interview, the following questions and answers can definitely help.
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