PySVM : A NumPy implementation of SVM based on SMO algorithm. Numpy构建SVM分类、回归与单分类，支持缓存机制与随机傅里叶特征
python machine-learning svm svm-classifier one-class-svm svm-kernel svm-regressor random-fourier-features
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Nov 19, 2023 - Python
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svm-regressor
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Repository of my master’s thesis "Development and evaluation of a model for predicting the state of health of traction batteries based on artificial neural networks"
machine-learning battery sklearn neural-networks supervised-learning mlp-regressor battery-management-system mlp-network svm-regressor state-of-health
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Dec 27, 2021 - Python
Using Machine learning to predict a student final grade
machine-learning linear-regression regression power-bi feature-selection feature-extraction data-analysis data-exploration principal-component-analysis spyder feature-importance svm-regressor student-performance-prediction
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Dec 13, 2020 - Python
Machine learning models to predict a patient's diagnosis based on features selected from a dataset
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Jul 14, 2022 - Python
Ranking Reviews Based on their utility using Advanced NLP Techniques
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Dec 8, 2022 - Python
The findings in the present study will be a breakthrough for the estimation of CPC concentration from S. platensis solely based on the information provided in the image without the need to perform a prior extraction process and identification of CPC concentration using analytical equipment.
rgb-color hsl-color mlp-regressor cnn-regression svm-regressor cmyk-color spirulina-platensis ann-regession c-phycocyanin
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Sep 25, 2024 - Python
Boston house price prediction using Linear Regression.
flask pipeline linear-regression eda outlier-detection boston-housing-price-prediction decision-tree-regression modular-components random-forest-regression vif robust-scaling svm-regressor knn-regressor
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Jul 6, 2023 - Python
Predicted the sales price using different machine learning prediction models for Housing Prices Dataset
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Nov 29, 2024 - Python
Evaluate the robustness and performance between ML and DL models in predicting the CPC concentration under various image capturing devices, types of input image datasets, and lighting conditions. The findings in our current study can overcome the bottleneck by eliminating the need for laborious manual extraction processes and reducing the time and
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May 5, 2025 - Python
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