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# Data Structures and Algorithms
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The landscape of coding interviews has evolved dramatically, becoming more challenging as we now have access to a plethora of coding problems. This increased competition means that merely understanding basic data structures and solving a handful of problems is no longer sufficient. This repository serves as a comprehensive guide to
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The landscape of coding interviews has evolved dramatically, becoming more challenging as we now have access to a plethora of coding problems. This increased competition means that merely understanding basic data structures and solving a handful of problems is no longer sufficient. This repository serves as a comprehensive guide to tackling these complexities. It is designed to help you master the intricacies of data structures and algorithms through a structured and pattern-based approach. Here, we break down the most common and challenging coding interview questions into understandable patterns, providing you with the tools to recognize and solve similar problems.
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# 1. Foundation
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- By large, CS concepts can be standalone. However, you might need to build upon other elements. For instance, in ML, there is a need for Linear Algebra, Calculus, and Statistics.
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