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Book 4: Learning from Data - CEdge Learn
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Book 4: Learning from Data
Book 4: Learning from Data
Curriculum
8 Sections
33 Lessons
10 Weeks
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Chapter 1: Tools and Data for Machine Learning Projects
3
159.160
The UCI (University of California-Irvine) ML Repository
159.161
Introducing the Rattle package
159.162
Using Rattle with iris
Chapter 2: Decisions, Decisions, Decisions
5
163.164
Decision Tree Components
163.165
Decision Trees in R
163.166
Decision Trees in Rattle
163.167
Project: A More Complex Decision Tree
163.168
Suggested Project: Titanic
Chapter 3: Into the Forest, Randomly
4
169.170
Growing a Random Forest
169.171
Random Forests in R
169.172
Project: Identifying Glass
169.173
Suggested Project: Identifying Mushrooms
Chapter 4: Support Your Local Vector
4
174.175
Some Data to Work With
174.176
Separability: It’s Usually Nonlinear
174.177
Support Vector Machines in R
174.178
Project: House Parties
Chapter 5: K-Means Clustering
3
179.180
How It Works
179.181
K-Means Clustering in R
179.182
Project: Glass Clusters
Chapter 6: Neural Networks
5
183.184
Networks in the Nervous System
183.185
Artificial Neural Networks
183.186
Neural Networks in R
183.187
Project: Banknotes
183.188
Suggested Projects: Rattling Around
Chapter 7: Exploring Marketing
3
189.190
Analyzing Retail Data
189.191
Enter Machine Learning
189.192
Suggested Project: Another Data Set
Chapter 8: From the City That Never Sleeps
6
193.194
Examining the Data Set
193.195
Warming Up
193.196
Quick Suggested Project: Airline Names
193.197
Suggested Project: Departure Delays
193.198
Quick Suggested Project: Analyze Weekday Differences
193.199
Suggested Project: Delay and Weather
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