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Data Science

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

By: Unknown Unknown
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Decks in this class (11)

General Machine Learning & Ethics
What is the difference between su...,
Machine learning,
Supervised ml
23  cards
Feature Engineering
What is the 3 main goal of the an...,
What is the 3 general categories ...,
Explain the concept of feature en...
36  cards
Class Imbalance
What is class imbalance in machin...,
What are the majority and minorit...,
What are the two techniques to fi...
21  cards
Evaluation Metrics
When not to use accuracy,
Which metrics to use for imbalanc...,
Accuracy
15  cards
Naive Bayes Model
Naive bayes assumption,
Bayes theorem,
Naive bayes
27  cards
Unsupervised Machine Learning
Unlabeled data,
Goals of unsupervised learning,
Methodologies
39  cards
Decision Tree Modeling
Tree based learning,
Ensemble learning,
Hyperparameter tuning
97  cards
Statistics
A b testing,
Why companies use a b testing,
Descriptive stats
153  cards
Confidence Intervals
Point estimate,
Interval estimate,
Confidence interval
21  cards
Hypothesis Testing
Two types of hypothesis types,
One sample test,
Two sample test
66  cards
Regression
Two types of hypothesis types,
One sample test,
Two sample test
66  cards

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Data Science

  • Class purpose General learning

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