文件名称：机器学习：机器学习项目
文件大小：129KB
文件格式：ZIP
更新时间：2024-03-19 20:40:40
JupyterNotebook
机器学习 机器学习项目 该存储库仅用于学习目的，并用于使用R和Python开发一些有关机器学习的项目！ 图片来源：Kirill Eremenko的Udemy课程机器学习AZ 日期：02/08/2018
【文件预览】：
Machine-Learning-master
----Natural Lang Processing -SelfLearning.py(1KB)
----Natural Lang Processing - SelfLearning.R(2KB)
----apyori.py(14KB)
----KNN -SelfLearning.py(3KB)
----Polynomial -SelfLearning.py(2KB)
----Apriori -SelfLearning.R(491B)
----Decision Tree Classification- SelfLearning.R(2KB)
----CheatSheet(259B)
----Apriori -SelfLearning.py(601B)
----Random Forest Classification -SelfLearning.R(2KB)
----SVR -SelfLearning.py(2KB)
----Kernel SVM -SelfLearning.R(2KB)
----Multiple Linear SelfLearning.py(2KB)
----Diabetes_Analysis.ipynb(155KB)
----Naive Bayes -SelfLearning.py(3KB)
----Naive Bayes -SelfLearning.R(2KB)
----UCB -SelfLearning.R(1KB)
----Random Forest Classification -SelfLearning.py(3KB)
----Logistic Regression -SelfLearning.py(3KB)
----Thompson Sampling - SelfLearning.py(1KB)
----Decision Tree -SelfLearning.R(2KB)
----Random Forest -SelfLearning.R(1KB)
----Decision Tree -SelfLearning.py(2KB)
----UCB -SelfLearning.py(1KB)
----Random Forest -SelfLearning.py(2KB)
----apriori.py(531B)
----SVR -SelfLearning.R(2KB)
----Logistic Regression -SelfLearning.R(2KB)
----Multiple Linear SelfLearning.R(1KB)
----Kernel SVM-SelfLearning.py(3KB)
----K-Means Clustering -SelfLearning.py(2KB)
----Polynomial -SelfLearning.R(2KB)
----Eclat -SelfLearning.R(481B)
----SVM -SelfLearning.py(3KB)
----KNN -SelfLearning.R(2KB)
----Simple Linear - SelfLearning.R(1KB)
----README.md(245B)
----Decision Tree Classification-SelfLearning.py(3KB)
----Hierarchical Clustering -SelfLearning.py(1KB)
----K-Means Clustering -SelfLearning.R(868B)
----SVM -SelfLearning.R(2KB)
----Simple Linear -SelfLearning.py(1KB)
----Thompson Sampling - SelfLearning.R(1004B)
----Hierarchical Clustering -SelfLearning.R(835B)