Intermediate Machine Learning

بواسطة: Kaggle

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

Taught by

Alexis Cook

Computer Science / Machine Learning

الذهاب الي الدورة

Intermediate Machine Learning

بواسطة: Kaggle

Kaggle
مجانية
الإنجليزية
متاح شهادة
متاح في أي وقت
الجميع
N/A

Messages Timeline Exceptions Views14 Route Queries6 Models5 Gate Session Request

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