Course Access
Unlimited Duration
Last Updated
July 29, 2021
Students Enrolled
20
Total Reviews
Posted by
Certification
Course Curriculum
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- The roles in a data science project 00:00:00
- Stages of a data science project 00:00:00
- Setting expectations 00:00:00
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- Working with data from files 00:00:00
- Working with relational databases 00:00:00
- Using summary statistics to spot problems 00:00:00
- Spotting problems using graphics and visualization 00:00:00
- Mapping problems to machine learning tasks 00:00:00
- Evaluating models 00:00:00
- Validating models 00:00:00
- Using linear regression 00:00:00
- Using logistic regression 00:00:00
- Using bagging and random forests to reduce training variance 00:00:00
- Using generalized additive models (GAMs) to learn non-monotone relationships 00:00:00
- Using kernel methods to increase data separation 00:00:00
- Using SVMs to model complicated decision boundaries 00:00:00
- Presenting your results to the project sponsor 00:00:00
- Presenting your model to end users 00:00:00
- Presenting your work to other data scientists 00:00:00
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