- 數據挖掘過程和技術的基本知識
觀眾
- 數據分析師
- 數據科學家
Waikato Environment for Knowledge Analysis （Weka） 是一款開源數據挖掘可視化軟體。它為數據準備、分類、聚類和其他數據挖掘活動提供了一組機器學習演算法。
此講師指導的即時培訓（在線或現場）面向希望使用 Weka 執行數據挖掘任務的初級到 中級數據分析師和數據科學家。
在本次培訓結束時，參與者將能夠：
- 安裝並配置 Weka。
- 瞭解 Weka 環境和工作臺。
- 使用 Weka 執行數據挖掘任務。
課程形式
- 互動講座和討論。
- 大量的練習和練習。
- 在即時實驗室環境中動手實施。
課程自定義選項
- 要申請本課程的定製培訓，請聯繫我們進行安排。
介紹
- 概覽 Weka
- 了解數據挖掘過程
開始
- 安裝與設定Weka
- 瞭解 Weka UI
- 設置環境和專案
- 探索 Weka 工作臺
- 載入和瀏覽數據集
實施回歸模型
- 瞭解不同的回歸模型
- 處理和保存已處理的數據
- 使用交叉驗證評估模型
- 序列化和可視化決策樹模型
實現分類模型
- 瞭解特徵選擇和數據處理
- 構建和評估分類模型
- 構建和可視化決策樹模型
- 以數位形式對文本數據進行編碼
- 對文本數據執行分類
實現聚類分析模型
- 瞭解 K-means 聚類分析
- 規範化和可視化數據
- 執行 K-means 聚類分析
- 執行分層聚類
- 執行 EM 集群
部署 Weka 模型
故障排除
總結和後續步驟
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