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All Programs
Computers
Data Science
Learning from Data
Learning from Data
Curriculum
4 Sections
16 Lessons
10 Weeks
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Chapter 17: Exploring Four Simple and Effective Algorithms
8
1.1
Guessing the Number: Linear Regression
1.2
Quiz for Guessing the Number: Linear Regression
6 Questions
1.3
Moving to Logistic Regression
1.4
Quiz for Moving to Logistic Regression
7 Questions
1.5
Making Things as Simple as Naïve Bayes
1.6
Quiz for Making Things as Simple as Naïve Bayes
7 Questions
1.7
Learning Lazily with Nearest Neighbors
1.8
Quiz for Learning Lazily with Nearest Neighbors
7 Questions
Chapter 18: Performing Cross-Validation, Selection, and Optimization
8
2.1
Pondering the Problem of Fitting a Model
2.2
Quiz for Pondering the Problem of Fitting a Model
6 Questions
2.3
Cross-Validating
2.4
Quiz for Cross-Validating
5 Questions
2.5
Selecting Variables Like a Pro
2.6
Quiz for Selecting Variables Like a Pro
7 Questions
2.7
Pumping Up Your Hyperparameters
2.8
Quiz for Pumping Up Your Hyperparameters
6 Questions
Chapter 19: Increasing Complexity with Linear and Nonlinear Tricks
10
3.1
Using Nonlinear Transformations
3.2
Quiz for Using Nonlinear Transformations
7 Questions
3.3
Regularizing Linear Models
3.4
Quiz for Regularizing Linear Models
6 Questions
3.5
Fighting with Big Data Chunk by Chunk
3.6
Quiz for Fighting with Big Data Chunk by Chunk
6 Questions
3.7
Understanding Support Vector Machines
3.8
Quiz for Understanding Support Vector Machines
7 Questions
3.9
Playing with Neural Networks
3.10
Quiz for Playing with Neural Networks
7 Questions
Chapter 20: Understanding the Power of the Many
6
4.1
Starting with a Plain Decision Tree
4.2
Quiz for Starting with a Plain Decision Tree
6 Questions
4.3
Getting Lost in a Random Forest
4.4
Quiz for Getting Lost in a Random Forest
7 Questions
4.5
Boosting Predictions
4.6
Quiz for Boosting Predictions
6 Questions
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