Intermediate Machine Learning

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Intermediate Machine Learning provided by Kaggle is a comprehensive online course, which lasts for 4 hours worth of material. Intermediate Machine Learning is taught by Alexis Cook. Upon completion of the course, you can receive an e-certificate from Kaggle. The course is taught in Englishand is Free Certificate. Visit the course page at Kaggle for detailed price information.

Overview
  • Handle missing values, non-numeric values, data leakage, and more.

    • Review what you need for this course.
    • Missing values happen. Be prepared for this common challenge in real datasets.
    • There's a lot of non-numeric data out there. Here's how to use it for machine learning.
    • A critical skill for deploying (and even testing) complex models with pre-processing.
    • A better way to test your models.
    • The most accurate modeling technique for structured data.
    • Find and fix this problem that ruins your model in subtle ways.

Syllabus
    • Introduction
    • Missing Values
    • Categorical Variables
    • Pipelines
    • Cross-Validation
    • XGBoost
    • Data Leakage