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# What
* 각 feature에 대해 학습가능한 classification model 구축
# Why
* 여러가지 feature에 대해 개별적인 모델 학습
* gradcam을 통해 각 feature에 대한 문제점 파악
# TODO
- [x] timm model
- [x] torchvision.models
- [x] SVM
- [x] O…
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## Rubric Score
### Criteria 1: Valid Python Code
* _Score Level:_ 4 (Exceeds expectations)
* _Comment(s):_ Great job, your code runs without any errors.
### Criteria 2: Exploration of Data
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E. Triantafillou et. al. [1] had experiments for few-shot learning with class imbalance to see if the class imbalance actually impacts to the performance of the few-shot learning methods.
**Resul…
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# Review-2019.6.10-彭晓婷
## Preview
- 看了论文《Semisupervised Scene Classification for Remote Sensing Images_ A Method Based on Convolutional Neural Networks and Ensemble Learning》 和《Cost-Sensitive Le…
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#### Learning Goals
1. Learning different techniques that one needs to adapt if there is an imbalance in the dataset.
### Exercise Statement
1. Different Resampling techniques to handle the datas…
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### Describe the workflow you want to enable
In some cases, it is nice to compare a machine learning classifier with experimental data using ROC or Precision-Recall Curves. For (e.g.) a logarithmic r…
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Converting the non numerical features to numeric representation would have been a great opportunity to use one hot encoding. In short, by using a scale instead of One-hot Encoding the student may have…
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Hi,
I am working on a regression problem, and I want to use SMOTER' the problem is that I don't understand how to oversample my data significantly. My input dataframe size is [716,3457], and the out…
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covtype
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I am checking a solution to prevent "fraudster" to create "store/ecommerces" to sell products as a fraud only.
Example:
Product: Stove brand Consul
Price: 100
Real price at normal shoppings: …