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# Course schedule
# Warning, this course is **not free**
## Content: math & theory focus
* Learning-based:
+ Linear regression
+ logistic regression
+ SVM
* Ensemble based:
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We currently have two linear regression models, a supervised learning technique, would it be more useful to have at least one of each of the following:
Supervised
- regression model
- classifica…
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Researching about which models to choose and why:
- Linear Regression
- Forests
- XG Boost
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I'm trying out copilot on different topics.
For standard models, I get python code that looks valid in the examples. For models that we don't have yet (e.g. robust S-estimator) I get code that does…
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It would be really useful if the descriptions for linear regression, logistic regression and algorithms had a section that described data requirements/expectations. For example, from what I understan…
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I think its reasonable to remove linear regression support in Statsample because of following reasons:
- Its equivalent which is Normal regression lies in Statsample-GLM
- This way all regression mode…
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At the moment, Case Study 1 is about _linear_ multilevel models. Should we make it about more general multilevel models generally, particularly including multilevel logistic regression.
I have Jags …
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2024.07.22. ~ 2024.08.31. 동안 아래와 같이 학습하여 AI를 체화시키자.
- **일주일에 3개 이상씩 UCI dataset 혹은 plotly에 있는 데이터를 하나 선정하여 classification or regression을 연습할 것**
- 최소 100개의 records가 포함된 dataset
- 모델은 최소 3개 …
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How do we know which variables are the best predictors for classification models? Are there coefficients similar to linear regression?
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Where are new models supposed to go?
what is the type of category that determines subdirectories?
### Panel, Longitudinal
location for mixed ?:
is in regression in the PR
the logical choice would b…