本项目开发了一个机器学习和深度学习的训练工具。该训练工具基于sklearn和pytorch，不仅支持常规训练、交叉验证训练，还支持贝叶斯搜索参数，并可随时自动保存训练模型和日志。
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Dec 22, 2023 - Python
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skopt
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We will discuss the Hyper Parameter Tuning for different Machine Learning Algorithm
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Oct 20, 2020 - Jupyter Notebook
Gesture recognition experiments for hospital environments using Leap Motion sensor.
python machine-learning jupyter numpy sklearn plotly pandas healthcare dataset classification hospital research-project leap-motion-sensor google-colab skopt
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Jul 18, 2023 - Jupyter Notebook
using Xgboost for the binary classification
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Nov 26, 2020 - Jupyter Notebook
Classification of NBA players, in order to maximize accuracy. To achieve this, I choose a decision threshold that maximizes the F 0.5 score.
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Sep 23, 2021 - Jupyter Notebook
Hyperparameter Optimization Using Sci-kit Optimization
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Oct 10, 2018 - Jupyter Notebook
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