teddyoweh / dimensionality-reduction-pca

Dimensionality reduction is basically a process of reducing the amount of random features,attributes variables or in this case called dimensions in a dataset and leaving as much variation in the dataset as possible by obtaining a set of only relevant features to increase the effiency of a model.

Teddy.

Software Engineer (ML)

As a software engineer, my primary focus is on integrating machine learning into various applications, including web and mobile applications. I have a strong foundation in networking and cloud computing, which allows me to effectively design and implement these integrations in a scalable and efficient manner.