文件名称：springboard:对于跳板课工作
文件大小：14.61MB
文件格式：ZIP
更新时间：2024-04-23 22:04:50
JupyterNotebook
跳板 对于跳板课工作
【文件预览】：
springboard-main
----Case Study 14.2 - Logistic Regression()
--------Logistic Regression Advanced Case Study.ipynb(270KB)
--------images()
--------Pipfile.lock(35KB)
--------Pipfile(229B)
--------data()
----Case Study 11.3 - Integrating Apps()
--------googleplaystore.csv(1.29MB)
--------googleplaystore_user_reviews.csv(7.25MB)
--------Springboard Apps project - Tier 2 - Complete.ipynb(30KB)
--------appleStore_description.csv(12.37MB)
--------Springboard Apps project - Tier 3 - Complete.ipynb(96KB)
--------Springboard Apps project - Tier 1 - Complete.ipynb(31KB)
--------AppleStore.csv(818KB)
----Case Study 11.4 - Linear Regression()
--------wineQualityReds.csv(92KB)
--------Springboard Regression Case Study - the Red Wine Dataset - Tier 2.ipynb(35KB)
--------Springboard Regression Case Study - the Red Wine Dataset - Tier 3.ipynb(2.14MB)
--------Springboard Regression Case Study - the Red Wine Dataset.zip(57KB)
--------Springboard Regression Case Study - the Red Wine Dataset - Tier 1.ipynb(35KB)
----Case Study 15.6 - Customer Segmentation using Clustering Kmeans()
--------WineKMC.xlsx(44KB)
--------Clustering Case Study - Customer Segmentation with K-Means - Tier 1.ipynb(39KB)
--------Clustering Case Study - Customer Segmentation with K-Means - Tier 3.ipynb(2.02MB)
----Case Study 8.3 - Country Club SQL()
--------SQLTasks Tier 2.sql(5KB)
--------sqlite_db_pythonsqlite.db(212KB)
--------README.md(279B)
--------SQL tasks tier 2.ipynb(27KB)
----Case Study 15.2 - Calculating Distances()
--------plots()
--------data()
--------Euclidean_and_Manhattan_Distances_Case_Study.ipynb(301KB)
----README.md(41B)
----Case Study 14.3 - RR Diner Coffee Decision Trees()
--------Springboard Decision Tree Specialty Coffee Case Study - Tier 3.ipynb(685KB)
--------Springboard Decision Tree Specialty Coffee Case Study - Tier 1.ipynb(45KB)
--------Pipfile.lock(47KB)
--------Pipfile(288B)
--------data()
--------Springboard Decision Tree Specialty Coffee Case Study - Tier 2.ipynb(43KB)
----Case Study 14.4 - Random Forest()
--------PatientInfo.csv(214KB)
--------RandomForest_casestudy_covid19.ipynb(1.21MB)
--------tree.png(774KB)
--------tree.dot(2KB)
----first_assingment.ipynb(842B)
----Case Study 4.3 - London Housing Data Science Skills()
--------Unit 4 Challenge - Tier 3.ipynb(345KB)
----.gitignore(40B)
----Case Study 14.5 - Gradient Boosting()
--------Gradient Boosting Case Study.ipynb(111KB)
--------titanic.csv(59KB)
----Case Study 11.1 - Frequentist Inference A and B()
--------Frequentist Inference Case Study - Part B (2).ipynb(24KB)
--------.DS_Store(6KB)
--------insurance2.csv(38KB)
--------DS_Store(8KB)
--------Frequentist Inference Case Study - Part A (3).ipynb(88KB)
----API Mini-Project 7.2()
--------api_data_wrangling_mini_project.ipynb(21KB)
----Case Study 15.5 - Cosine Similarity()
--------.DS_Store(6KB)
--------Cosine_Similarity_Case_Study.ipynb(323KB)
--------distance_dataset (1).csv(94KB)