Dr. Spotfire - Building Data Science Apps with Python, Tensorflow, and Spotfire
TIMESTAMPS:
0:59 Intro
2:32 Advantages of Data Science Apps
5:21 The Data Science Process
6:19 Data Science App Preview
9:40 Setting up Controls (for Feature Selection)
12:27 Training and Test Split
16:18 Feature Imporance with Python
21:06 Adjusting Training and Test Split
21:33 CART vs Random Forest Models
22:02 Passing variables to Python with Controls
23:10 Correlation Matrix on Selected Features
24:52 Creating a Tensorflow Model
28:42 Possible Next Steps
29:52 Results Overview
32:28 Maintaining Models