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Course Content
5 Days
Topic Text Material Image content Video content Quiz
Interview Questions & Answers in Data Science -
What is Pandas and How is it Used in Data Analysis? -
How do you create a DataFrame in pandas? -
What is the difference between Series and DataFrame in pandas? -
How do you read data from a CSV file into a pandas DataFrame? -
How do you handle missing data in pandas? -
How can you select a subset of a DataFrame based on conditions? -
What is the difference between loc and iloc in pandas? -
How do you merge/join DataFrames in pandas? -
How do you group data in pandas and perform aggregation? -
How do you pivot and unpivot a DataFrame in pandas? -
What is Data Science? -
What is Overfitting? -
What is Underfitting? -
What are Eigenvectors and Eigenvalues? -
What are Confounding Variables? -
10 Days
Topic Text Material Image content Video content Quiz
What is Selection Bias? -
What is Bias-Variance Trade-Off? -
What is Confusion Matrix? -
What is Logistic Regression? -
What is Linear Regression? -
What is Generative Adversarial Network? -
Define supervised & unsupervised learning -
Describe about bias-variance tradeoff. -
What is regularization and why is it useful? -
What is the curse of dimensionality? -
Explain about cross-validation. -
Define mean, median, and mode. -
What is the central limit theorem? -
Explain p-value and significance level. -
What is a confidence interval? -
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Overview

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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