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 134 (0 this week)

Watchers 6 (0 this week)

Forks 35

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RepositoryStats indexes 641,731 repositories, of these kennedyCzar/STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA is ranked #253,066 (61st percentile) for total stargazers, and #291,646 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #6,149/19,418.

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 (#205/464), stock (#108/209), algorithmic-trading (#133/206), stocks (#78/174)

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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: 2025-03-10 @ 03:00am, id: 147453638 / R_kgDOCMn2xg