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In the same line of thought of algorithms which claim... or have beaten deep learning methods (Issue 144), Gradient Boosted Trees is one of them.
http://xgboost.readthedocs.io/en/latest/model.htm…
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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.
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1. How to Explain Gradient Boosting
* https://explained.ai/gradient-boosting/index.html
* check out `Recommended Readings`
1. Towards Data Science - Boosting Algorithms by SauceCat
* h…
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**Is your feature request related to a problem? Please describe.**
Yes, the feature request is related to the problem of uncertainty in stock market investments. Investors often struggle to make pred…
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# Main Remark
Tabnet architecture is using sequential steps in order to mimic some kind of random forest paradigm.
But since boosting algorithms often outperform random forests shouldn't we try to…
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I wonder after reading Chapter 7 that in Ada Boost Ensemble Algorithm multiple types of base learning algorithms can be used ex: decision trees, svm, logistic regression, etc. But in the implementatio…
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Issue 1: Data Collection
* Title: Improve data collection process
* Description: Currently, the data collection process for customer churn prediction is manual and time-consuming. We need to exp…
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* **I'm submitting a ...**
[/] feature request
* **Summary**
Gradient Boosting is the most widely used model in Kaggle competitions for both classification and regression problems. It would be ni…
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## 💥 Proposal
I recommend having an eye disease prediction system to stop the surge of eye diseases at early stages.
I aim to use a mix of various algorithms like The Logistic Regression, Random …