Kaggle Competition Training Kaggle竞赛培训
Master Data Science Competitions & Climb the Ranks 征服数据科学竞赛，攀登排行榜
What is Kaggle? 什么是Kaggle？
Kaggle is the world's largest data science competition platform and online community, now owned by Google. With over 23 million users across 194 countries, Kaggle hosts competitions where data scientists compete to produce the best machine learning models for real-world problems from companies like Google, Microsoft, and NVIDIA. Kaggle是全球最大的数据科学竞赛平台和在线社区，现由Google拥有。拥有超过2300万用户，遍布194个国家， Kaggle举办各类竞赛，数据科学家们竞相为Google、Microsoft、NVIDIA等公司的实际问题构建最佳机器学习模型。
Kaggle achievements are highly respected in the data science world and can significantly boost your college applications and career prospects. Our training prepares you to compete and win! Kaggle成就在数据科学领域备受尊重，能显著提升你的大学申请和职业前景。我们的培训让你有能力参赛并获胜！
🏅 Kaggle Progression Tiers 🏅 Kaggle等级体系
Climb the ranks from Novice to Grandmaster 从新手攀登至大师级
Novice
Starting point for all Kagglers 所有Kaggle用户的起点
92K+ users
Contributor
Complete profile & make submissions 完善资料并提交作品
64K+ users
Expert
2 Bronze medals in competitions 竞赛中获得2枚铜牌
7K+ users
Master
1 Gold + 2 Silver medals 1金牌 + 2银牌
2,973 users
Grandmaster
5 Gold medals (1 solo) 5金牌（含1个人金牌）
612 users
Complete Competition Curriculum 完整竞赛课程体系
Master all skills needed to win Kaggle competitions 掌握赢得Kaggle竞赛所需的全部技能
ML Foundations 机器学习基础
Weeks 1-4 第1-4周
- Linear & Logistic Regression线性与逻辑回归
- Decision Trees & Random Forests决策树与随机森林
- Cross-validation Strategies交叉验证策略
- Evaluation Metrics (AUC, F1, RMSE)评估指标（AUC、F1、RMSE）
- Handling Missing Data处理缺失数据
- Exploratory Data Analysis (EDA)探索性数据分析
Feature Engineering 特征工程
Weeks 5-8 第5-8周
- Feature Creation & Selection特征创建与选择
- Target Encoding & Embeddings目标编码与嵌入
- Time Series Features时间序列特征
- Text Feature Extraction (TF-IDF)文本特征提取
- Dimensionality Reduction (PCA)降维（PCA）
- Feature Importance Analysis特征重要性分析
Advanced Models 高级模型
Weeks 9-12 第9-12周
- XGBoost & LightGBMXGBoost与LightGBM
- CatBoost for Categorical DataCatBoost处理类别数据
- Neural Networks (Tabular)神经网络（表格数据）
- CNN for Image CompetitionsCNN图像竞赛
- Transformers for NLPTransformers自然语言处理
- Hyperparameter Tuning (Optuna)超参数调优（Optuna）
Winning Techniques 获胜技巧
Weeks 13-16 第13-16周
- Ensemble Methods & Stacking集成方法与堆叠
- Blending & Model Averaging混合与模型平均
- Pseudo Labeling伪标签技术
- Local Validation vs LB Strategy本地验证vs排行榜策略
- Competition Shake-up Tactics竞赛排名波动战术
- Post-processing Tricks后处理技巧
🎯 Competition Categories We Cover 🎯 我们覆盖的竞赛类别
Train for all major Kaggle competition types 为所有主要Kaggle竞赛类型做准备
Tabular Data 表格数据
Structured data prediction with XGBoost, LightGBM, CatBoost 使用XGBoost、LightGBM、CatBoost进行结构化数据预测
Computer Vision 计算机视觉
Image classification, object detection, segmentation 图像分类、目标检测、图像分割
NLP 自然语言处理
Text classification, NER, question answering with BERT/GPT 文本分类、命名实体识别、问答系统
Time Series 时间序列
Forecasting, anomaly detection, trend analysis 预测、异常检测、趋势分析
🏆 Grandmaster Winning Strategies 🏆 大师级获胜策略
Learn battle-tested techniques from top Kagglers 学习顶级Kaggle选手的实战技巧
Strong Local Validation 强大的本地验证
Build a reliable cross-validation scheme that mirrors the test set distribution. Trust your CV over the public leaderboard. 构建可靠的交叉验证方案，反映测试集分布。相信你的CV而非公开排行榜。
Creative Feature Engineering 创意特征工程
The secret weapon of top Kagglers. Create domain-specific features that capture hidden patterns in the data. 顶级Kaggle选手的秘密武器。创建捕捉数据隐藏模式的领域特定特征。
Ensemble Everything 集成一切
Combine diverse models through stacking, blending, and weighted averaging to push into gold medal territory. 通过堆叠、混合和加权平均组合多样化模型，冲击金牌区域。
Why Train With Us for Kaggle? 为什么选择我们的Kaggle培训？
Your path to Kaggle medals and data science mastery 通往Kaggle奖牌和数据科学精通的道路
Medal-Focused Training 以奖牌为导向的培训
Our curriculum is designed specifically to help you win Kaggle medals 我们的课程专门设计帮助你赢得Kaggle奖牌
Real Competition Practice 真实竞赛实践
Work on actual Kaggle competitions with expert guidance and code review 在专家指导和代码审查下参与实际Kaggle竞赛
Grandmaster Techniques 大师级技术
Learn advanced tricks used by Kaggle Grandmasters to win competitions 学习Kaggle大师用于赢得竞赛的高级技巧
GPU Computing Access GPU计算资源
Access to Kaggle Notebooks with free GPU/TPU for training models 使用Kaggle Notebooks免费GPU/TPU训练模型
Portfolio Building 作品集构建
Build an impressive Kaggle profile for college apps and job applications 为大学申请和求职构建出色的Kaggle档案
Small Classes 小班教学
Maximum 6 students for personalized feedback and code reviews 每班最多6人，个性化反馈和代码审查
🏆 Our Students' Kaggle Achievements 🏆 我们学生的Kaggle成就
🛠️ Tools & Libraries You'll Master 🛠️ 你将掌握的工具与库
Student Success Stories 学生成功故事
I went from complete beginner to Kaggle Expert in just 6 months. The feature engineering techniques I learned were game-changers for my competition scores! 我在短短6个月内从完全新手成长为Kaggle Expert。我学到的特征工程技术彻底改变了我的竞赛成绩！
The ensemble and stacking techniques helped me break into the gold medal zone. My Kaggle profile was a major factor in my MIT admission! 集成和堆叠技术帮助我冲进金牌区域。我的Kaggle档案是MIT录取的重要因素！
As a high schooler, I never thought I could compete with data scientists. Now I've won my first medal and I'm hooked on Kaggle competitions! 作为高中生，我从没想过能与数据科学家竞争。现在我赢得了第一枚奖牌，完全爱上了Kaggle竞赛！
Start Winning Kaggle Medals! 开始赢得Kaggle奖牌！
Join the world's best data science community and compete with the best 加入全球最佳数据科学社区，与顶尖选手竞争