Timeline

• Welcome to Machine Learning
  Meet with Sebastian and Katie to discuss machine learning.

• Naive Bayes - 9 hours remaining
  Learn about classification, training and testing, and run a naive Bayes classifier using Scikit Learn.

• SVM - 6 hours remaining
  Build an intuition about how support vector machines (SVMs) work and implement one using scikit-learn.

• Decision Trees - 5 hours remaining
  Learn about how the decision tree algorithm works, including the concepts of entropy and information gain.

• Choose Your Own Algorithm - An hour remaining
  In this mini project, you will extend your toolbox of algorithms by choosing your own algorithm to classify terrain data, including k-nearest neighbors, AdaBoost, and random forests.

• Datasets and Questions - 6 hours remaining
  Find out about the Enron data set used in the next lessons and mini-projects.

• Regressions - 6 hours remaining
  See how we can model continuous data using linear regression.

• Outliers - 4 hours remaining
  Sebastian discusses outlier detection and removal.

• Clustering - 3 hours remaining
  Learn about what unsupervised learning is and find out how to use scikit-learn's k-means algorithm.

• Feature Scaling - 2 hours remaining
  Learn about feature rescaling and find out which algorithms require feature rescaling before use.

• Feature Selection - 4 hours remaining
  Katie discusses when and why to use feature selection, and provides some methods for doing this.

• Text Learning - 7 hours remaining
  Find out how to use text data in your machine learning algorithm.

• PCA - 6 hours remaining
  Learn about data dimensionality and reducing the number of dimensions with principal component analysis (PCA).

• Validation - 3 hours remaining
  Learn more about testing, training, cross validation, and parameter grid searches in this lesson.

• Evaluation Metrics - 3 hours remaining
  How do we know if our classifier is performing well? Katie discusses different evaluation metrics for classifiers in this lesson.

• Tying It All Together - 10 minutes remaining
  Spend some time reflecting on the course material with Sebastian and Katie!

• Final Project