Python Programming 2

Python Programing Seminar – Advanced with Machine Learning

Presented: TBD

Presented by:
Kevin Lee is a Data Scientist, Machine Learning Leader/Instructor/Evangelist in Pharmaceutical Industry. Currently, Kevin is Assistant Vice President of AI/Machine Learning Consultant at Genpact and teaches Machine Learning/Python/CDISC/Oncology courses at conferences and university. Kevin has been a big advocate in leadership and innovative technologies, with which Kevin wants to innovate Pharmaceutical Industry. Kevin earned an M.S. in Applied Statistics at Villanova University following a B.S. from University of Pennsylvania.

The advanced Python programming seminar will cover more advanced Python programming. It is recommended for those who took morning seminar or last year’s Python course, or for those who have some knowledge, but want to learn more advanced Python programming. This seminar will also cover Machine Learning implementation using Python.

    Agenda for advanced Python programming seminar

  • Simple review of basic Python Programing seminar
  • Metadata analysis (PROC CONTENT)
  • Advanced Programming – transpose, remove duplicate record, group-by
  • Statistical Analysis – Pair t-test, Fisher Exact Test, Survival Analysis
  • Data visualization – Scatter Plot, Histogram, Kaplan Meier Curves
  • Machine Learning Introduction – concepts and theory
  • Machine Learning Algorithm – Regression, Logistic Regression, Decision Tree
  • Deep Learning Algorithm – Deep Neural Network (DNN), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN)
  • Python Machine Learning modules – Sklearn, Tensorflow, Keras
  • Python Machine Learning workshop using image data
    Through the seminars, programmers and statisticians will be able to learn the following:

  • Deeper Understanding of Python programming
  • Jupyter Notebook download and experience
  • Real time Python coding exercise
  • Difference and similarity with SAS programming
  • Data Manipulation and analysis in Python
  • Machine Learning programming in Python