Interpreting the Machine Learning algorithm using LIME python package | Viswateja

preview_player
Показать описание
While most of us recognize that machine learning (ML) is commonly utilized for predictive tasks such as forecasting the weather, predicting sales, or estimating stock prices, it can also be employed to interpret outcomes. What does this entail?

Interpretation in this context can be understood at two levels:

Local Interpretation
Global Interpretation.

Thanks,
Viswateja
  1. TejaWithData
  2. Data Science
  3. DataScience
  4. python
  5. viswateja
  6. ML
Рекомендации по теме
Machine Learning Explained 0:02:35

Machine Learning Explained in 100 Seconds

All Machine Learning 0:16:30

All Machine Learning algorithms explained in 17 min

I can't STOP 0:00:26

I can't STOP reading these Machine Learning Books!

All Learning Algorithms 0:14:10

All Learning Algorithms Explained in 14 Minutes

Andrew Ng's Secret 0:00:48

Andrew Ng's Secret to Mastering Machine Learning - Part 1 #shorts

Interpreting the Machine 0:16:20

Interpreting the Machine Learning algorithm using LIME python package | Viswateja

Classification and Regression 0:02:48

Classification and Regression in Machine Learning

Machine Learning vs 0:07:50

Machine Learning vs Deep Learning

Decoding AI: Techniques 0:04:53

Decoding AI: Techniques for Interpreting and Visualizing Decisions

Neural Networks Explained 0:04:32

Neural Networks Explained in 5 minutes

10 ML algorithms 0:46:18

10 ML algorithms in 45 minutes | machine learning algorithms for data science | machine learning

But what is 0:18:40

But what is a neural network? | Deep learning chapter 1

All Machine Learning 0:05:01

All Machine Learning Models Explained in 5 Minutes | Types of ML Models Basics

🔥What Is Machine 0:00:45

🔥What Is Machine Learning ? | Machine Learning Explained in 60 Seconds #Shorts #simplilearn

What is Machine 0:08:23

What is Machine Learning?

Machine Learning | 0:07:52

Machine Learning | What Is Machine Learning? | Introduction To Machine Learning | 2024 | Simplilearn

Learning Machine Learning 0:00:28

Learning Machine Learning has never been easier #shorts #machinelearning #statistics #datascience

Supervised vs. Unsupervised 0:07:08

Supervised vs. Unsupervised Learning

How AIs, like 0:08:55

How AIs, like ChatGPT, Learn

Neural Networks explained 0:01:00

Neural Networks explained in 60 seconds!

🔥Machine Learning Engineer 0:00:57

🔥Machine Learning Engineer Salary | How Much Do Machine Learning Engineer Make |Simplilearn #shorts...

Machine Learning Algorithm- 0:21:33

Machine Learning Algorithm- Which one to choose for your Problem?

Machine Learning for 3:53:53

Machine Learning for Everybody – Full Course

Support Vector Machine 0:02:19

Support Vector Machine (SVM) in 2 minutes

Комментарии
Автор

15:53 If we plot all features are we sure that blue probabilities (contribution to 0) sum up to 0.94? Similarly, are we sure that contribution of features in orange sum up to 0.06? Because i have already run LIME many times and this is the part that i cant figure out why it happens...

bryanparis
Автор

superb video sir but most underrated, don't mind it sir we are love u and ur teaching style

pounkumar
Автор

very nice video, maybe the audio quality could be a little better? thank you for making this video!!!

renaor.
Автор

Hello Sir, If you upload notebook in GitHub, it is great help for us.

manoharnookala
Автор

Some youtuber really test the patience of viewers. Why don't they prepare before making any video.

radiance
Автор

dear sir, I got this error
AttributeError Traceback (most recent call last)
in <module>
----> 1 explainer = lime.lime_tabular.LimeTabularExplainer(np.array(x), feature_names=x.columns, verbose= True, mode='classification')

AttributeError: 'numpy.ndarray' object has no attribute 'columns'

eshsaini
Автор

Firat you stop the little one from playing with your mobile!!!

FirstNameLastName-fveu