About Me
I finished a five days AI/Machine Learning seminar coupled with further learning on deep learning with kaggle.com, which was eye opening for three reasons: 1 It built on my use of python, libraries like pandas, numpy, keras, seaborn, matplotlib, scipy, sklearn, tensorflow and Models like support vector machine, linear regression, random Forest method, stochastic gradient. 2 it made understand how to import .CSV files, clean and visualise datasets, and 3 it helped to resolve my Masters thesis in the University as regards traffic signal timing.
Those were great experiences, mostly because of what I was able to accomplish. Im excited to build on wins, and very interested in growing my skill set while working with resourceful teams on any job or project that comes my way.
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