Top 3 quadratic-discriminant-analysis Open-Source Projects
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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
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Empirical_Study_of_Ensemble_Learning_Methods
Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Project mention: Seeking Feedback on my R Package for Categorical Model Validation | /r/datascience | 2023-07-03Here is the repo if anyone is interested: https://github.com/donishadsmith/vswift
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Index
What are some of the best open-source quadratic-discriminant-analysis projects? This list will help you:
Project | Stars | |
---|---|---|
1 | STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA | 116 |
2 | Empirical_Study_of_Ensemble_Learning_Methods | 10 |
3 | vswift | 1 |
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