Top 3 Jupyter Notebook decision-tree Projects

Intrusion-Detection-System-Using-Machine-Learning

0 319 2.9 Jupyter Notebook

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA

3 116 0.0 Jupyter Notebook

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

Project mention: STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA: NEW Other Models - star count:100.0 | /r/algoprojects | 2023-04-29
WorkOS

workos.com
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The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
Optimal_Classification_Trees

0 40 0.0 Jupyter Notebook

Three MIP models for optimal classification tree: OCT, binOCT, flowOCT

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2023-04-29.

Index

What are some of the best open-source decision-tree projects in Jupyter Notebook? This list will help you:

	Project	Stars
1	Intrusion-Detection-System-Using-Machine-Learning	319
2	STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA	116
3	Optimal_Classification_Trees	40