STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA Alternatives

Similar projects and alternatives to STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA based on common topics and language

• Empirical_Study_of_Ensemble_Learning_Methods

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  Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning

• Intrusion-Detection-System-Using-Machine-Learning

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  Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

  

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• bitcoin_price_prediction

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  This project tries to prediction the bitcoin price with machine and deep learning.

• NLU-engine-prototype-benchmarks

  1 5 2.6 Jupyter Notebook STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA VS NLU-engine-prototype-benchmarks

  Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.

• CSGO-Pro-Gear-Performance-and-EDA

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  Modeling Professional (CS:GO) Gamer's Accuracy Performance Based on Gear and Settings, and Exploratory Data Analysis.

• psych-verbs

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  Research experiment design and classification of Romanian emotion verbs