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Lecture 16 of 16
eXtreme Gradient Boosting Classifier (XGBoost)
Course Content
0 / 16 completedSection 1: Introduction4 videos
Setup of the Anaconda Cloud Notebook
59m
Introduction
1h 19m
Download and installation of the Anaconda Distribution (optional)
1h
The Conda Package Management System (optional)
1h 30m
Section 2: Advanced Models for Regression and Supervised Learning7 videos
Overview
12m
Artificial Neural Networks, Feedforward Networks, and the Multi-Layer Perceptron
1h 30m
Feedforward Multi-Layer Perceptrons for Prediction
1h 30m
Decision Tree Regression model
1h 30m
Voting Regression
1h 30m
eXtreme Gradient Boosting Regression (XGBoost)
1h 30m
Random Forest Regression
1h 30m
Section 3: Advanced Models for Classification and Supervised Learning5 videos
Feedforward Multi-Layer Perceptrons for Classification
1h 18m
Decision Tree Classifier
1h 30m
Random Forest Classifier
1h 30m
Voting Classifier
1h 30m
eXtreme Gradient Boosting Classifier (XGBoost)
1h 30mNow Playing