課程簡介
介紹
- Kaggle 概述
- Kaggle 類別和性能層
Kaggle 比賽
- Kaggle 比賽概述
- 比賽形式
- 參加 Kaggle 比賽
- 組建團隊
Kaggle 數據集
- Kaggle 資料集類型
- 搜索和創建數據集
- 組織和協作
Kaggle 內核
- Kaggle 內核類型
- 搜索內核
- 內核編輯器和數據源
- 在內核上進行協作
Kaggle 公共 API
- 安裝和身份驗證
- 將 Kaggle API 用於比賽
- 將 Kaggle 用於數據集
- 創建和維護數據集
- 將 Kaggle API 與內核一起使用
- 推送和拉取內核
- 檢查內核的狀態和輸出
- 創建並運行新內核
- Kaggle 配置
摘要和後續步驟
最低要求
- Python 程式設計技能
- 機器學習知識
- 對統計學的理解
觀眾
- 數據科學家
- 開發人員
- 任何想使用 Kaggle 學習數據科學的人
客戶評論 (5)
示例和練習
Kamil
Course - Introduction to Data Science and AI using Python
機器翻譯
All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.
Mathipa Chepape - Vodacom
Course - Big Data Business Intelligence for Telecom and Communication Service Providers
Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra
Marija Hornis Dmitrovic - Marija Hornis
Course - Data Science for Big Data Analytics
It is great to have the course custom made to the key areas that I have highlighted in the pre-course questionnaire. This really helps to address the questions that I have with the subject matter and to align with my learning goals.
Winnie Chan - Statistics Canada
Course - Jupyter for Data Science Teams
Trainer was accommodative. And actually quite encouraging for me to take up the course.