Tigerair 数据科学项目实训营

📚 Lesson 1Welcome

Enhancing Airline Passenger ExperienceObjective: The primary goal is to leverage the "Airline Passenger Satisfaction" dataset to uncover ins... 登录后查看完整内容

📚 Lesson 1Data science problem identification and data investigation

Introduction to Basic Machine Learning Concepts:Overview of machine learning (ML) and its impact on solving real-world problems.Distinction ... 登录后查看完整内容

📚 Lesson 1Exploratory data analysis

Variation of Variables: Understand how variables differ among themselves, including range, central tendency, and dispersion measures.Missing... 登录后查看完整内容

📚 Lesson 2Data preprocessing

Handling Missing Values: Techniques to detect and treat missing data, such as imputation or removal.Removing Duplicates: Identifying and eli... 登录后查看完整内容

📚 Lesson 1Feature engineering

Feature Selection: Techniques to identify and select the most relevant features for your model.Creating New Features: Strategies for generat... 登录后查看完整内容

📚 Lesson 1ML model building

Advanced ML Concepts: Explore more sophisticated machine learning concepts beyond the basics.Model Selection: Learn how to choose the approp... 登录后查看完整内容

📚 Lesson 1Hyperparameter tuning

Grid Search: A method to systematically work through multiple combinations of parameter tunes, cross-validating as it goes to determine whic... 登录后查看完整内容

📚 Lesson 1Model evaluation

Split/Cross-Validation (CV): Techniques to partition data into subsets; training the model on one subset and validating it on another to ens... 登录后查看完整内容

📚 Lesson 1ML pipeline

Preprocessing Pipeline: Steps to clean and prepare your data for modeling.Feature Engineering Pipeline: Techniques to select, modify, or cre... 登录后查看完整内容

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