Projects
Have a peek,
these projects stem from learning experiences to actual development.
An ML nose-dive investigation of Enron Application of enhanced and fine-tuned search machine learning classifier algorithms. The process also involves primary component analysis, stratified data shuffling, grid-searching, and score-based model selection to ensure thorough and accurate analysis.
A college project highlighting different algorithms to solve systems of linear eqautions in matrix algebra form.
Statistical testing optimization Using Python modules to quickly sort through a large set of gene data and find most influential genes used to set apart two very similar types of Leukemia.
College project in which a Support Vector machine algorithm is dissected and written from scratch for flower identification.