XuesenYang

XuesenYang

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Company:Shenzhen University

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XuesenYang's repositories

Several-Simple-Regression-Prediction-Methods

Several Simple Regression Prediction Methods(including-SVR, LR, Lasso, ElasticNet, Gradient Boosting, Xgboost, lightGBM, Random Forest)

Language:PythonStargazers:7Issues:0Issues:0

How-to-calculate-the-classification-model-performance

In classification, Accuracy, Precision, Recall, F1, Confusion Matrix, ROC, AUC are the important Evaluation Indicator

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Several-Feature-Extraction-Methods

Several simple feature extraction methods are PCA, LDA, SVD and LLE

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2-D-Particle-Swarm-based-feature-selection

Code of article 'A two-dimensional (2-D) learning framework for Particle Swarm based feature selection'

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AI_Algorithm_Analysis

Implementation and Analysis of AI algorithms - Best First Search , Beam Search , A Star Search , Hill Climbing

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Boosted-Regression-Tree-in-Prediction-with-variable-selection

One Boosted Regression Tree method in Prediction of Industrial Steam Volume after variable selection

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KNN-classification-with-python

Layered sampling 10 fold cross validation+30runtimes+Multiple assessment

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People_Counter

Implementation of people counter using object detection with YOLO_v3 and object tracking

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