Contains Solutions and Notes for the IBM Machine Learning Professional Certificate
Note : If you would like to have a deeper understanding of the concepts by understanding all the math required, have a look at Mathematics for Machine Learning and Data Science
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- Hypothesis Testing
- [Optional Labs]
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[Week 5]
- [Project]
Course 2 : Supervised Machine Learning: Regression
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- Linear Regression
- [Optional Lab]
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- Cross Validation
- [Optional Lab]
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[Week 6]
- [Project]
Course 3 : Supervised Machine Learning: Classification
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- Decision Trees
- [Optional Lab]
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- Random and Synthetic Oversampling
- [Optional Lab]
Course 4 : Unsupervised Machine Learning
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[Week 7]
- [Project]
Course 5 : Deep Learning and Reinforcement Learning
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[Optional Lab]
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[Optional Lab]
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- Autoencoders
- [Optional Lab]
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- Reinforcement Learning
- [Optional Lab]
- Reinforcement Learning Demo
- [Project]
Course 6 : Machine Learning Capstone
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[Week 1]
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[Week 5]
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[Week 6]
- [Project]