- Python Machine Learning Blueprints
- Alexander Combs Michael Roman
- 70字
- 2021-07-02 13:49:38
Preparation
We've learned a great deal about inspecting the data we have, but now let's move on to learning how to process and manipulate our data. Here, we will learn about the .map(), .apply(), .applymap(), and .groupby() functions of pandas. These are invaluable for working with data, and are especially useful in the context of machine learning for feature engineering, a concept we will discuss in detail in later chapters.
推薦閱讀
- 計算機組裝與系統配置
- INSTANT Wijmo Widgets How-to
- 計算機應用與維護基礎教程
- Manage Partitions with GParted How-to
- 計算機維修與維護技術速成
- Visual Media Processing Using Matlab Beginner's Guide
- OpenGL Game Development By Example
- Source SDK Game Development Essentials
- Internet of Things Projects with ESP32
- Istio服務網格技術解析與實踐
- Hands-On Motion Graphics with Adobe After Effects CC
- 電腦組裝與維護即時通
- 新編電腦組裝與硬件維修從入門到精通
- FPGA實驗實訓教程
- 單片機原理及應用