Machine_Learning：Python中的我的机器学习代码
需积分: 10 127 浏览量
2021-02-16
12:49:09
上传
评论
收藏 7.62MB ZIP 举报
Machine_Learning：Python中的我的机器学习代码 （102个子文件） 
Churn_Modelling.csv 669KB Market_Basket_Optimisation.csv 296KB Data.csv 19KB breast_cancer.csv 19KB Wine.csv 11KB Social_Network_Ads.csv 5KB Mall_Customers.csv 4KB 50_Startups.csv 2KB Salary_Data.csv 454B Position_Salaries.csv 246B
index.html 3KB 44_Boosting_CATBoost.ipynb 726KB 29_Association Rule_Apriori.ipynb 469KB 30_Association Rule_Eclat.ipynb 467KB 26_Clustering_Kmeans.ipynb 75KB 27_Clustering_Hierarchial Clustering.ipynb 74KB 34_NLP.ipynb 72KB 22_Classification_Random Forest Classification.ipynb 70KB 17_Classification_KNN Classification.ipynb 65KB 19_Classification_Kernel SVM.ipynb 65KB 18_Classification_SVM (SVC) Classification.ipynb 65KB 16_Classification_Logistic Regression_Social Nework Ads.ipynb 63KB 20_Classification_Naive Bayes.ipynb 60KB 21_Classification_Decision Tree Classification.ipynb 60KB 08_Regression_Polynomial Regression.ipynb 59KB 43_Model Selection_ kfold cross validation.ipynb 56KB 43_Model Selection_Grid Search.ipynb 55KB 41_Kernel PCA_version 1.ipynb 55KB 41_Kernel PCA_version 2.ipynb 54KB 39_PCA_recommender system.ipynb 52KB 36_ANN_Regression power plant energy dataset.ipynb 50KB 06_Regression_Simple Linear Regression.ipynb 44KB 36_ANN_Classification_bank churn modeling.ipynb 43KB 40_LDA.ipynb 42KB 09_Regression_SVR.ipynb 41KB 10_Regression_Decision Tree Regression.ipynb 35KB 44_Boosting_XGBoost_bank churn modeling.ipynb 22KB 16_Logistic Regression Classification_Breast Cancer.ipynb 22KB 03_Data Preprocessing_costumers.ipynb 19KB 37_CNN_cat dog detection.ipynb 18KB 11_Regression_Random Forest Regression.ipynb 18KB 44_Boosting_XGBoost_breast cancer detection.ipynb 17KB 23_Classification_Model Selection_Decision Tree Classification.ipynb 14KB 23_Classification_Model Selection_Logistic Regression.ipynb 14KB 23_Classification_Model Selection_Random Forest Classification.ipynb 14KB 23_Classification_Model Selection_KNN.ipynb 13KB 23_Classification_Model Selection_Naive Bayes.ipynb 13KB 07_Regression_Multiple Linear Regression.ipynb 9KB 13_Regression_Model Selection_Random Forest Regression.ipynb.ipynb 5KB dog_cat_images_CNN_classification_project.ipynb 5KB 13_Regression_Model Selection_Decision Tree Regression.ipynb 5KB 13_Regression_Model Selection_Polynomial Linear Regression.ipynb 5KB 23_Classification_Model Selection_SVM (SVC).ipynb 5KB 23_Classification_Model Selection_Kernel SVM (SVC).ipynb 5KB 13_Regression_Model Selection_Multiple or Simple Linear Regression.ipynb 4KB README.md 13KB Readme.md 341B Readme.md 301B Readme.md 81B Readme.md 7B Readme.md 7B Readme.md 7B Readme.md 7B
Regularization_Intuition.pdf 444KB (2) Cartesian Plane Distance Formula.pdf 219KB (5) Problem Solving Methods Sum Rule Conditional Probability Product Rule.pdf 149KB (10) Sigma Notation Mean Variance.pdf 136KB (5) Fast Growth Slow Growth Logarithms Exponents.pdf 128KB (6) Bayes Theorem Part 1.pdf 121KB (7) Functions Increasing Decreasing.pdf 120KB (1) Tangent Lines Slope Graph Point.pdf 118KB (4) Fast Growth Slow Growth Simplification Rules Algebra.pdf 118KB (6) Functions Graphing.pdf 110KB (2) Basic Probability Definitions Joint Probabilities.pdf 106KB (7) Fast Growth Slow Growth Rate Of Growth Of Continuous Processes.pdf 105KB (7) Bayes Theorem Part 2.pdf 102KB (3) Problem Solving Methods Permutations And Combinations.pdf 99KB (9) Sigma Notation Simplification Rules.pdf 99KB (1) Basic Probability Definitions Probability Definitions And Notation.pdf 99KB (8) Functions CompositionInverse.pdf 98KB (3) Fast Growth Slow Growth Using Integer Exponents.pdf 98KB (3) Cartesian Plane Point Slope Formula.pdf 96KB (8) Sigma Notation Intro To Summation.pdf 91KB (2) Sets Medical Testing Example.pdf 90KB (3) Sets Venn Diagrams.pdf 88KB (6) Numbers Algebra With Inequalities.pdf 88KB (2) Tangent Lines Derivative Function.pdf 87KB (4) Numbers The RealNumber Line-_1_.pdf 85KB (5) Numbers Greater Than Less Than.pdf 85KB (4) Problem Solving Methods Using Factorial And M Choose N.pdf 81KB (5) Functions Mapping.pdf 80KB (7) Numbers Intervals.pdf 77KB (4) Cartesian Plane Slope Intercept Formula.pdf 77KB (1) Cartesian Plane Plotting Points.pdf 77KB (1) Sets Basics And Vocabulary.pdf 76KB (6) Fast Growth Slow Growth Change Of Base Formula.pdf 72KB Regression_Pros_Cons.pdf 27KB (8) Binomial Theorem And Bayes Theorem.pdf 97KB
Stochastic_Gradient_Descent.png 1.38MB apyori.py 14KB共 102 条
- 1
- 2
评论0