机器学习python代码
所属分类：源码/资料
开发工具：Python
文件大小：63KB
下载次数：0
上传日期：2022-06-29 23:22:00
上 传 者：
wangze19
说明： 机器学习python代码，决策树、逻辑回归、随即森林
文件列表:
association (0, 2019-02-22)
association\apriori.py (5846, 2019-02-22)
association\fp_growth.py (9459, 2019-02-22)
classification_regression (0, 2019-02-22)
classification_regression\__pycache__ (0, 2019-02-22)
classification_regression\__pycache__\cart_clf.cpython-36.pyc (4350, 2019-02-22)
classification_regression\adaboost.py (3984, 2019-02-22)
classification_regression\boosting_tree.py (4166, 2019-02-22)
classification_regression\cart_clf.py (5559, 2019-02-22)
classification_regression\cart_regression.py (3653, 2019-02-22)
classification_regression\decision_tree.py (5799, 2019-02-22)
classification_regression\knearest.py (6951, 2019-02-22)
classification_regression\linear_regression.py (1132, 2019-02-22)
classification_regression\logistic_regression.py (1782, 2019-02-22)
classification_regression\maximum_entropy.py (6261, 2019-02-22)
classification_regression\naive_bayes.py (2386, 2019-02-22)
classification_regression\perceptron.py (2438, 2019-02-22)
classification_regression\random_forest.py (3857, 2019-02-22)
classification_regression\softmax.py (2610, 2019-02-22)
classification_regression\svm.py (8734, 2019-02-22)
classification_regression\svm_wss3.py (7161, 2019-02-22)
classification_regression\xgboost.py (5943, 2019-02-22)
cluster (0, 2019-02-22)
cluster\__pycache__ (0, 2019-02-22)
cluster\__pycache__\kmeans.cpython-36.pyc (3512, 2019-02-22)
cluster\dbscan.py (4473, 2019-02-22)
cluster\gmm_em.py (5251, 2019-02-22)
cluster\kmeans.py (3347, 2019-02-22)
cluster\label_propagation.py (3933, 2019-02-22)
cluster\meanshift.py (4752, 2019-02-22)
cluster\spectural_clustering.py (5017, 2019-02-22)
cross_validation.py (392, 2019-02-22)
load_data.py (263, 2019-02-22)
optimization (0, 2019-02-22)
optimization\optimization_algorithm.py (9439, 2019-02-22)
outlier_detection (0, 2019-02-22)
outlier_detection\isolation_forest.py (3477, 2019-02-22)
outlier_detection\lof.py (2179, 2019-02-22)
... ...
# Machine-Learning-Algorithms
Python实现经典分类回归、关联分析、聚类、推荐算法以及机器学习常用最优化算法。
[我的博客](https://blog.csdn.net/slx_share)详细介绍了本项目实现的算法。
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