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 133 (0 this week)
Watchers 7 (0 this week)
Forks 35
License mit
Ranking

RepositoryStats indexes 618,350 repositories, of these kennedyCzar/STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA is ranked #248,080 (60th percentile) for total stargazers, and #274,131 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #5,981/18,432.

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 (#204/450),  stock (#106/202),  algorithmic-trading (#127/200),  stocks (#77/165)

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updated: 2025-01-18 @ 02:03am, id: 147453638 / R_kgDOCMn2xg