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ML Mastery

This class was created by Brainscape user Mahsa Zamanifard. Visit their profile to learn more about the creator.

By: Mahsa Zamanifard
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Decks in this class (10)

Chapter 5 Understand Your Data With Descriptive Statistics
1 what is the most common method ...
1  cards
Chapter 6 Understand Your Data With Visualization
What are types of univariate plot...,
What are types of multivariate pl...,
Why do we need to check pair wise...
3  cards
Chapter 7 Prepare Your Data For Machine Learning
5 do algorithms always deliver be...,
When is the normalizing technique...
2  cards
Chapter 8 Feature Selection For Machine Learning
What are some techniques for feat...,
What are 3 benefits of performing...
2  cards
Chapter 9 Evaluate the Performance of Machine Learning Algorithms with Resampling
What are the general ways of eval...,
What are four different technique...
2  cards
Chapter 10 Machine Learning Algorithm Performance Metrics
What are the types of classificat...,
How is logarithmic loss logloss c...,
For what kind of classification p...
7  cards
Chapter 15 Improve Performance with Ensembles
External q why doesn t gradient b...,
What is the difference between st...,
What are the three most popular m...
13  cards
Chapter 17 Save and Load Machine Learning Models
How to save a model after fitting...,
How to save a model after fitting...
2  cards
Chapter 18 Predictive Modeling Project Template
What are the steps for approachin...,
What are the things we need to do...,
How can we improve our models p118
3  cards
Ensemble Learning Algorithms With Python
What are the reasons we use ensem...,
What are the classes in scikitlea...,
Does random forest use all the fe...
9  cards

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ML Mastery

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