Speaker: Ajayrama Kumaraswamy
10 min: Introduction and overview
10 min: Introduction to Ipython notebook
30 min: Statistics with scipy.stats
10 min: Review
30min: Practice session with Ipython notebook
Topics:
1. Random Variables and Distribution functions
i. Plotting Distribution Functions
ii. Custom Random variables and drawing samples
2. Analyzing One Sample
i. Basic statistics, histogram
ii. Kernel Density Estimation and Distribution Fitting
iii. Significance Tests: t-test and Kolmogorov-Smirnov test
3. Analyzing two samples
iii. Significance tests
Total Attendees: 12 Event Link: https://www.meetup.com/SuperPythonTalks/events/237848686/
