文件名称：Machine_Learning:机器学习算法基础
文件大小：1.1MB
文件格式：ZIP
更新时间：2024-05-03 07:48:39
JupyterNotebook
机器学习 机器学习算法基础
【文件预览】：
Machine_Learning-master
----GradientDescent()
--------Gradient Descent.ipynb(50KB)
--------AddGrad(1B)
----COVID19-Analysis()
--------CoronaVirus_Predection.ipynb(472KB)
--------CoronaVirus_Predection.pdf(433KB)
--------covid19(1B)
----Confusion_Matrix()
--------Confusion Matrix.ipynb(3KB)
--------Confusion Matrix(579B)
----Regression()
--------SimpleLinearRegression()
--------MultipleLinearRegression()
----ChurnPrediction()
--------churnPrediction.ipynb(190KB)
--------PredictChurn(1B)
--------WA_Fn-UseC_-Telco-Customer-Churn.csv(955KB)
----GridSearchCV()
--------Grid_Search_CV.ipynb(11KB)
--------confusion_matrix(579B)
--------Advertising_data.csv(11KB)
----README.md(51B)
----XGBoost()
--------xgboost-hyperparameter.ipynb(26KB)
--------xgboost(1B)
----LogisticRegression()
--------logistic_regression(1KB)
--------pima-indians-diabetes.csv(23KB)
--------Logistic-Regression.ipynb(27KB)
----NumpyTutorials()
--------Numpy Functions.ipynb(30KB)
--------NumpyFunctions(16KB)
----NaiveBays()
--------pima-indians-diabetes copy.csv(24KB)
--------pima-indians-diabetes.csv(23KB)
--------NavieBayesClassifier.ipynb(2KB)
--------NaiveBays(1B)