machine_Learning_Algorithms_python:集合了不同的机器学习算法

时间:2021-02-13 15:28:06
【文件属性】:
文件名称:machine_Learning_Algorithms_python:集合了不同的机器学习算法
文件大小:57.97MB
文件格式:ZIP
更新时间:2021-02-13 15:28:06
machine-learning sklearn turicreate JupyterNotebook machine_Learning_Algorithms_python 不同机器学习算法的集合
【文件预览】:
machine_Learning_Algorithms_python-master
----README.md(89B)
----KNN.py(2KB)
----test.py(545B)
----regression()
--------home_data.sframe()
--------poly_reg_w3a1.ipynb(254KB)
--------multiple_reg.ipynb(48KB)
--------pred_house_price.ipynb(97KB)
----.vscode()
--------settings.json(74B)
----data.csv(153B)
----perceptron()
--------perceptron.py(0B)
--------data.csv(0B)
----ml_camp()
--------superwised_ML_eda.ipynb(311KB)
--------.ipynb_checkpoints()
----classification()
--------dicision_tree()
--------preprocessing()
----recom_system()
--------song_recom_system.ipynb(134KB)
----logistic_regression()
--------house_rate_prediction.ipynb(227KB)
--------gc.ipynb(1B)
--------sentiment_prediction.ipynb(39KB)
--------imp_classification_w2PA1.ipynb(98KB)
--------Social_Network_Ads.csv(11KB)
--------lr.ipylb(6B)
--------classify.py(1KB)
--------product_sent_analyzing.ipynb(167KB)
----deepfeatures.ipynb(442KB)
----clustering()
--------locality_sensitive_hashing.ipynb(24KB)
--------.ipynb_checkpoints()
--------people_wiki.sframe()
--------FND04-NB01.ipynb(109KB)
--------clust_wiki_data.ipynb(112KB)

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