Optimal_Classification_Trees VS STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA

Compare Optimal_Classification_Trees vs STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA and see what are their differences.

Optimal_Classification_Trees

Three MIP models for optimal classification tree: OCT, binOCT, flowOCT (by LucasBoTang)
decision-tree Optimization oct mip binoct flowoct optimal-classification-tree
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STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA

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 (by kennedyCzar)
Stock Prediction predictive-modeling predictive-analysis guassian-processes svm-classifier knn-classifier adaboost decision-tree parameter-tuning gridsearchcv Pipeline random-forest quadratic-discriminant-analysis logistic-regression algorithmic-trading Stocks
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Optimal_Classification_Trees STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA
1 3
40 116
- -
0.0 0.0
over 1 year ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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Optimal_Classification_Trees

Posts with mentions or reviews of Optimal_Classification_Trees. We have used some of these posts to build our list of alternatives and similar projects.

STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA

Posts with mentions or reviews of STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Optimal_Classification_Trees and STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA you can also consider the following projects:

Empirical_Study_of_Ensemble_Learning_Methods - Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning

Intrusion-Detection-System-Using-Machine-Learning - 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 vs Empirical_Study_of_Ensemble_Learning_Methods STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA vs Intrusion-Detection-System-Using-Machine-Learning