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What is Data Science? Differentiate between Data Analytics and Data Science.
What are the differences between unsupervised and supervised learning?
What is the meaning of bias, variance trade-off?
Explain the Random Forest Model and how to build one.
Explain Dimensionality Reduction and its benefits.
Differentiate between univariate, bivariate, and multivariate analysis.
What is a Decision Tree? Explain the steps involved in the process of making a Decision Tree.
What is Logistic Regression? Provide a real-world example where Logistic Regression can be used.
What is a Confusion Matrix?
Mention some techniques used for sampling.
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