hassan-ashfaq / denclue-clustering-algorithm

The Denclue Algorithm employs a Cluster Model Based On Kernel Density Estimation. A Cluster is defined by a local maximum of the estimated density function. Data points are assigned to clusters by hill climbing, i.e. points going to the same local maximum are put into the same cluster.

About

Personal Links

You can find me on,

Biography

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.

Tech Stack