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See in the following image that "Atributo(s) previsor(es)", "Atributo usado como rótulo (label)", "Nome do atributo usado como predição" are not in the "right"/"common" place in the random forest regr…
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### Evaluation
- [ ] [Confusion matrices](https://towardsdatascience.com/understanding-confusion-matrix-a9ad42dcfd62)
- [Source 2](https://en.wikipedia.org/wiki/Confusion_matrix)
- [ ] [Precision…
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Selected Classification Algorithms:
- [x] KNN
- [x] Decision Tree
- [x] Random Forest
- [x] XGBoost
- [x] MLP
- [x] LightGBM
Selected Regression Algorithms:
- [x] KNN
- [x] Decision Tree
-…
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Hi @cisaacstern ,
I created this repo and added a notebook: `train_random_forest.ipynb` that shows the steps to load the ship data I have, train a random forest regression model using sklearn, and …
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https://chatgpt.com/share/6722826e-2730-800e-9be1-5c6b505e6fa3
Las tecnologias se agregan en el learn.json de cada proyecto
Revisa todo el syllabus y ve editando en github cada project y color lso…
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In the machining learning methods listed below, which one can be used for both classification and regression?
Select one:
- A. Linear Regression
- B. Support Vector Machines
- C. Random Forest…
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---
### Feature Request: News Articles Category Prediction
**Summary:**
A feature to predict the category of a news article (such as Sports, Politics, Entertainment, Technology, etc.) based on …
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Task:
Prepare a serious of models to test pre-trained embeddings on affinity binding data.
Models to use:
Graph Neural Net
Densely Connected NN
LSTM
To Consider:
Simple Logistic Regression
…
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decision trees - CART 4.5
random forests
extremely random trees
kmeans
svm
SGD
http://leon.bottou.org/projects/sgd
linear regression
logistic regression
MARS
feature selection algorithms
http://…
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** types. of algorithms.
1. Linear discriminant analysis
2. Regression
3. Naive Bayes
4. Support vector machines
5. Classification and regression trees
6. Random forests
7. Boosting
etc.