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Sukhrobjon Golibboev's Projects

bew-2.1-advanced-web-patterns icon bew-2.1-advanced-web-patterns

👩‍💻Be able to build anything by learning the commonest advanced patterns for web development like search, file uploading, and sending emails and texts. We will also look at advanced JS topics like async/await and projects like TypeScript.

binary-expression-tree icon binary-expression-tree

A binary expression tree is a specific kind of a binary tree used to represent expressions. This project represents how to build algebraic expression tree.

career-lab icon career-lab

This course covers common interview algorithms questions

cs-1.2-tweetgeneratorsg icon cs-1.2-tweetgeneratorsg

A project based course that looks under the hood at data structures and algorithms to see how they work. In addition to implementing these structures in an application; students will build them from scratch, analyze their complexity, and benchmark their performance to gain an understanding of their tradeoffs and when to use them in practice. Students will write scripts, functions, and library modules to use text processing tools like regular expressions, construct and sample probability distributions to create a Markov language model and gain insight into how grammar works and natural language processing techniques.

cs-1.3-core-data-structures-sg icon cs-1.3-core-data-structures-sg

This course explores the foundations of computer science including discrete mathematics, abstract data types, data structures, and algorithm analysis and design. Students will compare and contrast iterative and recursive algorithms to analyze design and performance tradeoffs. Students will apply and test data structures like lists, stacks, queues, sets, maps, and trees in real-world problems such as phone call routing. Students will also write technical blog articles about these topics in order to deepen their understanding and gain valuable online presence as knowledgeable and proficient software engineers.

cs-2.2-challenges icon cs-2.2-challenges

This course covers graph theory, data structures, algorithms, and analysis. Key concepts include recursion, greedy algorithms, memoization and dynamic programming. Students will build an original project whose underlying structure requires the use of graph structures and algorithms to solve real-world problems such as airplane routing, social networking, and board games.

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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