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STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-R

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock…

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Overview

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock…

Topics & capabilities

machine-learningother-modelsgithubstockpredictionpredictive-modelingpredictive-analysisguassian-processessvm-classifierknn-classifieradaboost

Repository information

Repository
kennedyCzar/STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA ↗
Repository owner
kennedyCzar
Primary language
Jupyter Notebook
Repository code license
MIT ↗
Maintenance status
Not archived at the recorded check
Forked repository
No
GitHub stars
137
Forks
35
Default branch
master
Last repository push
Sep 8, 2022

Source: GitHub API · observed Oct 11, 2026. Stars and forks are recorded counts. Repository code licenses may differ from dataset or model-weight licenses.

Source links & provenance

https://github.com/kennedyCzar/STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA ↗

Discovery references

References explain how this resource entered the collection. They do not represent an endorsement.

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