文件名称：跳板：顶点项目
文件大小：8.19MB
文件格式：ZIP
更新时间：2024-03-09 21:29:54
JupyterNotebook
跳板：顶点项目
【文件预览】：
Springboard-master
----Cosine_Similarity_Case_Study.ipynb(318KB)
----WineKMC.xlsx(44KB)
----RandomForest_casestudy_covid19.ipynb(1.13MB)
----Guided Capstone - BIG MOUNTAIN RESORT()
--------Copy of 05_modeling.ipynb(49KB)
--------Copy of 02_data_wrangling.ipynb(441KB)
--------state_summary.csv(2KB)
--------ski_data_step3_features.csv(91KB)
--------ski_resort_data.csv(35KB)
--------Step_4_Preprocessing_and_Training.ipynb(278KB)
--------Notebook_steptwo.ipynb(206KB)
----London Housing()
--------Unit 4 Challenge - Tier 3.ipynb(164KB)
----Bayesian_optimization_case_study.ipynb(36KB)
----diabetes.csv(23KB)
----Decision Tree - Coffee()
--------Decision Tree Specialty Coffee Case Study.ipynb(945KB)
--------RRDinerCoffeeData.csv(29KB)
----SQLTasks.sql(8KB)
----Frequentist Inference Case Study - Part A (3).ipynb(71KB)
----GridSearchKNN_Case_Study.ipynb(169KB)
----Euclidean_and_Manhattan_Distances_Case_Study.ipynb(141KB)
----Gradient Tree Boosting - Titanic()
--------titanic.csv(60KB)
--------Gradient Boosting Case Study.ipynb(105KB)
----ski_resort_pricing_model.pkl(4.96MB)
----Logistic Regression Advanced Case Study.ipynb(608KB)
----Random Forest - Covid()
--------PatientInfo.csv(216KB)
----flight_delays_train.csv.zip(1.1MB)
----Clustering(KMeans) - Wine()
--------Clustering Case Study - Customer Segmentation with K-Means.ipynb(544KB)
----Apps Project.ipynb(29KB)
----Springboard Regression Case Study - the Red Wine Dataset.ipynb(2.23MB)
----flight_delays_test.csv.zip(1.06MB)