文件名称：Machine-Learning:机器学习
文件大小：897KB
文件格式：ZIP
更新时间：2024-04-10 18:18:15
机器学习 各种ML算法和数据集的实践回购
【文件预览】：
Machine-Learning-main
----.gitignore(2KB)
----K_Means_Clustering.ipynb(48KB)
----Regularization_Intuition.pdf(444KB)
----Classification()
--------KNN Classification.ipynb(6KB)
--------Decision Tree Classification.ipynb(58KB)
--------Kernel Support Vector Machine Classification.ipynb(6KB)
--------Random Forest Classification.ipynb(60KB)
--------Support Vector Machine Classification.ipynb(6KB)
--------Social_Network_Ads.csv(4KB)
--------Logistic Regression Classification.ipynb(59KB)
----Data_Preprocessing()
--------data_preprocessing.py(0B)
--------Data.csv(216B)
--------Data Preprocessing.ipynb(11KB)
----LICENSE(34KB)
----Regression()
--------Multiple Linear Regression()
--------SV Regression()
--------Decision Tree Regression()
--------Simple Linear Regression()
--------Polynomial Regression()
--------Random Forest Regression()
----Model Selection & Boosting()
--------XGBoost.ipynb(15KB)
--------k_fold_cross_validation.ipynb(47KB)
--------grid_search.ipynb(49KB)
--------Social_Network_Ads.csv(4KB)
--------Data.csv(19KB)
----README.md(78B)
----Model Selection()
--------Classification()
--------Regression()
----Classification_Pros_Cons.pdf(29KB)
----Anomaly_Detection_Using_Machine_Learning.ipynb(6KB)
----Regression_Pros_Cons.pdf(27KB)
----Logistic_Regression.zip(11KB)