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Lecture 11 of 16

Decision Tree Classifier

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Section 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 30mNow Playing

Random Forest Classifier

1h 30m

Voting Classifier

1h 30m

eXtreme Gradient Boosting Classifier (XGBoost)

1h 30m