hassan-ashfaq / k-nearest-neighbors-algorithm

K-Nearest Neighbors Algorithm (KNN) is a non-parametric classification method First Developed by Evelyn Fix and Joseph Hodges in 1951, and later expanded by Thomas Cover. It is used for Classification and Regression. In both cases, the input consists of the k closest training examples in a data set.

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Hi, I'm Hassan Ashfaq.

I have a strong machine learning background, with a Bachelor's degree in Artificial Intelligence. Throughout my career, I have worked on various machine learning projects, including natural language processing, computer vision, and predictive modeling.

I am proficient in a range of programming languages and frameworks, including Python, PyTorch, Tensor Flow, and scikit learn. I have experience building and deploying machine learning models in production environments and am comfortable working with large datasets and distributed computing systems.

Outside of my professional life, I am an avid learner and enjoy staying up to date with the latest developments in the field of machine learning. I also enjoy participating in hackathons and contributing to open-source projects.

I look forward to the opportunity to contribute my skills and expertise to your team.

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