CS-124 Cola Market 2015 Product Tuning v05
[Case Studies] CS-124 Cola Market 2015 Product Tuning Product-level Tuning of Cola Products improves the Feature-level Tuning and allows real-world […]
Example 4 - Building Sentiment Predictor - BERT
This workflow uses a Kaggle Dataset, including 14K customer tweets towards six US airlines (https://www.kaggle.com/crowdflower/twitter-airline-sentiment). […]
kn_example_r_excel_remove_sheet
use R's openxlsx to remove an existing worksheet from an Excel file edit: warning! in this example from the first sheet "data1" some features get deleted […]
CS-113 Cola Wars 1936 Twice As Much Simplified v05
[Case Studies] CS-113 Cola Wars 1936 Twice As Much Simplified (Product Bundling) Shows how Pepsi could offer twice-as-much cola for the same Price in a […]
04c. GenericJS VIew - solution
Relations in data with scatter and 3-D scatter This exercise focuses on learning about the relations among the data of prices of the houses in […]
Challenge 3 - JustKNIMEIt
You are a real estate agent working in a new city, and to perform well your first task involves understanding the houses in the region better. A colleague […]
03 Training an LSTM Model - Solution
This workflow shows a solution to a hands-on exercise in the L4-DL Introduction to Deep Learning self-paced course
03 Training an LSTM Model
This workflow shows a hands-on exercise in the L4-DL Introduction to Deep Learning self-paced course
03 Training an LSTM Model
This workflow shows a hands-on exercise in the L4-DL Introduction to Deep Learning self-paced course
03 Training an LSTM Model - Solution
This workflow shows a solution to a hands-on exercise in the L4-DL Introduction to Deep Learning self-paced course