I have a deep understanding of various supervised learning algorithms. In fact, i have a research paper published on the topic of reducing error in supervised learning algorithms. I have been a research assistant for my final year and I also earned a nanodegree credential from udacity in machine learning. Presently, i am enrolled in the coursera's deep learning specialization by Dr. Andrew Ng. If you need help in implementing supervised learning algorithms with/without machine learning libraries like sklearn, do let me know and we can discuss the details in the chat. Also, i can help with the visualizations required to present the results in a proper manner for some extra amount. I like to work in a ipython notebook. Do let me know if you want me to work in any other environment.