This is a collection of coding problem solutions created by someone working through competitive programming challenges and data science competitions. Think of it like a study notebook, but for solving algorithmic puzzles and machine learning contests. The repo acts as a personal archive of answers to problems from sites like LeetCode, Codeforces, HackerRank, and similar platforms where programmers practice their skills. It also includes solutions to Kaggle competitions, those are data science challenges where teams build predictive models. Each solution typically includes the code needed to solve a specific problem, organized by the platform or competition it came from. Someone would use this repo in a few ways. If you're learning to code and want to see how experienced programmers approach classic problems, you can browse through solutions to understand different techniques. If you're preparing for coding interviews, you could study the problems and see one approach to solving them. If you're curious about what kind of work goes into winning a Kaggle competition, you could examine those solutions too. It's essentially a showcase of problem-solving work rather than a tool you'd install and run yourself. The value here is mainly as a reference or learning resource. The README itself is quite minimal and doesn't explain the structure in detail, so you'd need to explore the folder organization to see how solutions are grouped, likely by platform or difficulty level. It's the kind of repo that's useful if you're on a similar learning journey and want to compare notes with someone else tackling the same problems.
← ujjwalkarn on gitmyhub — every repo by this author, as a profile.
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