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!