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项目实训营Schedule

Tigerair 数据科学项目实训营

数据科学专家指导项目，8 周获得数据科学项目经验

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    Class Schedule

    Curriculum

    Phased course schedule, flexible for working professionals and different time zones

    📚 Lesson 1Welcome
    Enhancing Airline Passenger ExperienceObjective: The primary goal is to leverage the "Airline Passenger Satisfaction" dataset to uncover ins... Log in to view full content
    📚 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 ... Log in to view full content
    📚 Lesson 1Exploratory data analysis
    Variation of Variables: Understand how variables differ among themselves, including range, central tendency, and dispersion measures.Missing... Log in to view full content
    📚 Lesson 2Data preprocessing
    Handling Missing Values: Techniques to detect and treat missing data, such as imputation or removal.Removing Duplicates: Identifying and eli... Log in to view full content
    📚 Lesson 1Feature engineering
    Feature Selection: Techniques to identify and select the most relevant features for your model.Creating New Features: Strategies for generat... Log in to view full content
    📚 Lesson 1ML model building
    Advanced ML Concepts: Explore more sophisticated machine learning concepts beyond the basics.Model Selection: Learn how to choose the approp... Log in to view full content
    📚 Lesson 1Hyperparameter tuning
    Grid Search: A method to systematically work through multiple combinations of parameter tunes, cross-validating as it goes to determine whic... Log in to view full content
    📚 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... Log in to view full content
    📚 Lesson 1ML pipeline
    Preprocessing Pipeline: Steps to clean and prepare your data for modeling.Feature Engineering Pipeline: Techniques to select, modify, or cre... Log in to view full content
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