Exercise 2 Training Algorithms for Numeric Prediction
This workflow shows a hands-on exercise in the L4-ML Introduction to Machine Learning Algorithms self-paced course
JKI-S3-C20-FinnovationFlows
TAGS: JKISeason3-20
Solution_Round_4_Code_of_Nodes
<h1>Chi-Square Test of Independence</h1><h4><u>Hypothesis Test Setup</u></h4><h5><strong>H₀:</strong> Hair and Milk are […]
Mixing_DL_with_XGBoost
This workflow shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract features from images. It […]
Mixing_DL_with_XGBoost
This workflow shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract features from images. It […]
Mixing_DL_with_XGBoost
Mixing_DL_with_XGBoost This workflow shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract […]
CS-112 Cola Wars 1936 Twice As Much v05
[Case Studies] CS-112 Cola Wars 1936 Twice As Much (Quantifying Differentiation) Simulates an early ""Cola Wars"" battle between Coke and Pepsi. The […]
07_Advanced_Usage_of_the_GroupBy_node
This workflow shows the many aggregation options that the GroupBy node offers. We start from customer data, group on Gender or more features, and run a few […]
07_Advanced_Usage_of_the_GroupBy_node
This workflow shows the many aggregation options that the GroupBy node offers. We start from customer data, group on Gender or more features, and run a few […]
JKISeason3-18_Explaining Cancer Predictions
Challenge 18 Level: Hard Description: You work as a researcher creating models to identify whether a breast tumor is benign or malign, based on anonymized […]