skill Path[Beta] Intermediate Machine Learning

Machine Learning is exciting because it is so powerful: we can expose a computer to just a bit of data and it can make generalizations that apply to something new. That’s phenomenal! Better yet, we can combine, tune, and amplify our models to make them even more powerful. This Skill Path is the next step in your Machine Learning Journey. In it, you will leverage tools like Ensemble Methods and Hyperparameter tuning to power up your machine learning models. You will add new tools to your machine learning toolbox, including Naive Bayes Classifiers and Support Vector Machines, and apply LDA to reduce your data’s dimensionality.

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50 hours


Naive Bayes Classifiers, Support Vector Machines (SVM's), Hyperparameter Tuning, Boosting and Bagging, and more...


Some Python

For those who want to

  • Power up their models
  • Dive deeper into supervised and unsupervised machine learning
  • Leverage the potential of ensemble methods to improve outcomes


Certificate of Completion

What will you be able to do?

Here are just a few things you’ll be able to do with this skill.

What will you be able to do?

Here are just a few things you’ll be able to do with this skill.


Make the most of your data by maximizing your hyperparameters


Stack algorithms with boosting and bagging and turn decision trees into forests


Use algorithms like Naive Bayes Classifiers to solve challenging problems

You really feel like there's nothing you can't learn, which in turn builds so much confidence in your skills and gives the momentum to keep learning.

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