Machine Learning in Bubble Apps (No-Code ML Tutorial for Beginners)

Описание: Learn how to integrate machine learning (ML) models into your Bubble.io applications without writing code. Get the plugin here: https://nebulum-plugins.bubbleapps.io...

This tutorial covers classification models, training, evaluation, and prediction using the Nebulum Machine Learning plugin.

🎯 What You'll Learn:

How to install and set up ML models in Bubble
The difference between classification and regression
Training vs evaluation vs prediction (explained simply)
Understanding loss metrics and confidence scores
Real-world classification example using Titanic dataset
How ML models "think" in 100+ dimensions

⚡ Perfect for: No-code developers who want to add predictive capabilities to their apps - from fraud detection to customer churn prediction to risk assessment.

🔧 Plugin Used: Nebulum Machine Learning (built on TensorFlow)
https://nebulum-plugins.bubbleapps.io...

Visit us at: https://nebulum.one/

📊 Use Cases Covered:

Credit risk classification
Fraud detection
Customer churn prediction
Disease risk estimation
Student performance prediction
And much more

⏱️ Timestamps:

0:53 - Introduction to ML in Bubble
2:19 - Classification in Machine Learning
3:14 - Bubble.io Machine Learning Plugin
4:06 - How Machine Learning Works
7:02 - Mapping Features to Targets
8:12 - 3 Stages - Training, Evaluate & Predict
9:28 - Machine Learning Training
11:15 - Epochs
13:19 - ML Loss
14:51 - TensorFlow
16:49 - ML Confidence
19:32 - Evaluation
22:29 - Predictions
23:04 - Power of Machine Learning
26:20 - Regression
27:23 - Conclusion

🔗 Resources:

Plugin demo page: https://nebulum-plugins.bubbleapps.io...

Nebulum home: https://nebulum.one/

Bubble machine learning plugin: https://nebulum.one/bubble-machine-le...

Nebulum Blog: https://nebulum.one/blog/

Join our Newsletter: https://nebulum.one/bubble-machine-le...

ML plugin on Bubble: https://bubble.io/plugin/nebulum-mach...

Need help building ML apps? Visit https://nebulum.one/start-my-project/

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