kennedyCzar / 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

Date Created 2018-09-05 (6 years ago)

Commits 55 (last one 2 years ago)

Stargazers 122 (0 this week)

Watchers 7 (0 this week)

Forks 36

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RepositoryStats indexes 565,279 repositories, of these kennedyCzar/STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA is ranked #247,616 (56th percentile) for total stargazers, and #265,423 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #5,872/16,285.

kennedyCzar/STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA is also tagged with popular topics, for these it's ranked: pipeline (#207/427), algorithmic-trading (#123/189), stock (#105/188), stocks (#74/158)

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stock stocks adaboost pipeline prediction gridsearchcv decision-tree random-forest knn-classifier svm-classifier parameter-tuning guassian-processes algorithmic-trading logistic-regression predictive-analysis predictive-modeling quadratic-discriminant-analysis

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1 commits on the default branch (master) since jan '22

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updated: 2024-09-12 @ 07:44am, id: 147453638 / R_kgDOCMn2xg