15:41
SHAP with Python (Code and Explanations)
SHAP is the most powerful Python package for understanding and debugging your machine learning models. It can be used to ...
13:32
Explain Machine Learning Models with SHAP in Python
In this video, we learn about SHAP (SHapley Additive exPlanations) and how to use it in Python for machine learning model ...
7:07
SHAP values for beginners | What they mean and their applications
SHAP is the most powerful Python package for understanding and debugging your machine-learning models. We learn to ...
1:11:30
Машинное обучение. Семинар 7. Shap values
Ссылка на материалы занятия: https://github.com/girafe-ai/ml-mipt/tree/basic_s20/week0_07_boosting Лекция: ...
15:50
Explainable AI explained! | #4 SHAP
Resources ▭▭▭▭▭▭▭▭▭▭▭▭ Interpretable ML Book: https://christophm.github.io/interpretable-ml-book/ Github Project: ...
10:03
SHAP for Machine Learning: A Step-by-Step Python Tutorial
Di video ini, kita akan membahas SHAP (SHapley Additive Explanations), salah satu teknik terbaik untuk memahami bagaimana ...
26:19
Explaining Anomalies with Isolation Forest and SHAP | Python Tutorial
In this video, we dive deep into the world of anomaly detection with a focus on the Isolation Forest algorithm. Isolation Forest is a ...
20:40
Explainable AI using SHAP | Explainable AI for deep learning | Explainable AI for machine learning
Explainable AI using SHAP | Explainable AI for deep learning | Explainable AI for machine learning #ai #unfolddatascience ...
7:43
SHAP Values: Explain Any Prediction with SHAP in Python
If you cannot answer "why this prediction?" — learn to explain model decisions with SHAP in Python. Train a tiny regression ...
9:43
Interpretable Machine Learning Models with SHAP Analysis | XGBoost + Python | Explainable AI
FreeBirds Crew - Data Science and GenAI
freebirdscrew #SimranjeetSingh #MachineLearning #ExplainableAI #Python #artificialintelligence Full Playlist Link ...
20:51
Random Forest Explainability with SHAP in Python | Beeswarm, Waterfall & Feature Importance
SHAP #ExplainableAI #MachineLearning #RandomForest #DataScience #ModelInterpretation #XAI #RProgramming #Python ...
7:58
SHAP Interaction Values with XGBoost: Find Feature Pair Effects in Python
SHAP interaction values reveal which feature pairs change your XGBoost predictions instead of hiding those effects inside a ...
11:52
Shapley Additive Explanations (SHAP)
In this video you'll learn a bit more about: - A detailed and visual explanation of the mathematical foundations that comes from the ...
30:27
IML - 04 Shapley - 03 SHAP (SHapley Additive exPlanation) Values
Statistical Learning and Data Science
This video is part of the Interpretable Machine Learning (IML) course from the SLDS teaching program at LMU Munich.
8:41
SHAP with CatBoostClassifier for Categorical Features | Python Tutorial
Combining CatBoost and SHAP can provide powerful insight into your machine learning models. Especially, when you are ...
12:15
From Mystery to Clarity Using SHAP to Explain ML Decisions
In this video, we dive deep into SHAP (SHapley Additive exPlanations), a powerful technique for understanding the inner ...
6:52
Shap with python code and explanations
Get Free GPT4o from https://codegive.com sure! shap (shapley additive explanations) is a powerful method for explaining the ...
7:19
Demystifying Black box ⬛ Machine Learning | Deep Learning Models using SHAP: Exploring Model
In this video, we delve into the fascinating world of black box machine learning models and how to interpret them using the SHAP ...
6:56
Mastering SHAP Values for Model Interpretability
Unlock the Secrets of Model Interpretability with SHAP Values! ** Curious about how to make your AI models more transparent ...
23:20
Getting SHAP Values | Use of Waterfall & Beeswarm Plots | Linear Regression & GAM Models in Python
SHAP #ExplainableAI #InterpretableAI #MachineLearning #Python #pyGAM #scikitLearn #pandas #numpy #matplotlib ...