舉報 
會員
The Applied Data Science Workshop
Frombankingandmanufacturingthroughtoeducationandentertainment,usingdatascienceforbusinesshasrevolutionizedalmosteverysectorinthemodernworld.Ithasanimportantroletoplayineverythingfromappdevelopmenttonetworksecurity.Takinganinteractiveapproachtolearningthefundamentals,thisbookisidealforbeginners.You’lllearnallthebestpracticesandtechniquesforapplyingdatascienceinthecontextofreal-worldscenariosandexamples.Startingwithanintroductiontodatascienceandmachinelearning,you’llstartbygettingtogripswithJupyterfunctionalityandfeatures.You’llusePythonlibrarieslikesci-kitlearn,pandas,Matplotlib,andSeaborntoperformdataanalysisanddatapreprocessingonreal-worlddatasetsfromwithinyourownJupyterenvironment.Progressingthroughthechapters,you’lltrainclassificationmodelsusingsci-kitlearn,andassessmodelperformanceusingadvancedvalidationtechniques.Towardstheend,you’lluseJupyterNotebookstodocumentyourresearch,buildstakeholderreports,andevenanalyzewebperformancedata.BytheendofTheAppliedDataScienceWorkshop,you’llbepreparedtoprogressfrombeingabeginnertotakingyourskillstothenextlevelbyconfidentlyapplyingdatasciencetechniquesandtoolstoreal-worldprojects.
目錄(41章)
倒序
- 封面
- 版權信息
- Preface
- 1. Introduction to Jupyter Notebooks
- Introduction
- Basic Functionality and Features of Jupyter Notebooks
- Jupyter Features
- Summary
- 2. Data Exploration with Jupyter
- Introduction
- Our First Analysis – the Boston Housing Dataset
- Summary
- 3. Preparing Data for Predictive Modeling
- Introduction
- Machine Learning Process
- Approaching Data Science Problems
- Understanding Data from a Modeling Perspective
- Introducing the Human Resource Analytics Dataset
- Summary
- 4. Training Classification Models
- Introduction
- Understanding Classification Algorithms
- Summary
- 5. Model Validation and Optimization
- Introduction
- Assessing Models with k-Fold Cross Validation
- Dimensionality Reduction with PCA
- Summary
- 6. Web Scraping with Jupyter Notebooks
- Introduction
- Internet Data Sources
- Introduction to HTTP Requests
- Data Workflow with pandas
- Summary
- Appendix
- 1. Introduction to Jupyter Notebooks
- 2. Data Exploration with Jupyter
- 3. Preparing Data for Predictive Modeling
- 4. Training Classification Models
- 5. Model Validation and Optimization
- 6. Web Scraping with Jupyter Notebooks 更新時間：2021-06-18 18:27:46
推薦閱讀
- Mastering ServiceStack
- 工程軟件開發技術基礎
- PyTorch自動駕駛視覺感知算法實戰
- Vue.js前端開發基礎與項目實戰
- HTML5入門經典
- 碼上行動：用ChatGPT學會Python編程
- Mastering Business Intelligence with MicroStrategy
- jQuery炫酷應用實例集錦
- Python深度學習：模型、方法與實現
- C++ Fundamentals
- Lift Application Development Cookbook
- Learning Android Application Testing
- Web前端開發技術：HTML、CSS、JavaScript
- Less Web Development Cookbook
- Visual C++程序開發范例寶典
- MATLAB計算機視覺實戰
- Splunk Developer's Guide（Second Edition）
- LabVIEW案例實戰
- Mastering Rust
- 大話統計學（溢彩實訓版）：基于R語言+中文統計工具
- React Components
- Learning OpenCV 4 Computer Vision with Python 3
- 騰訊游戲開發精粹Ⅲ
- Oracle Solaris 11 Advanced Administration Cookbook
- Access2010實用教程
- C#從入門到精通
- Web前端開發與應用教程（HTML5+CSS3+JavaScript）
- 構建體驗新框架：人性化 智能化 平臺化
- Intel Galileo Networking Cookbook
- Mastering Scala Machine Learning
