Resources

Information Exploration

table_chartRelational DatabasesStructured database management systems and querying with SQLexpand_more

1. Relational Database Fundamentals29 stepsplay_arrow
2. Star Schema Data Models66 stepsplay_arrow

Machine Learning: Fundamentals

1. Data Preparation32 stepsplay_arrow
2. Train-Test Split41 stepsplay_arrow

Machine Learning: Supervised Learning

trending_upRegressionPredicting a number: fitting lines and curves to data, and measuring how well they explain itexpand_more

1. Linear Regression32 stepsplay_arrow
2. Polynomial Regression30 stepsplay_arrow
3. R-squaredtouch_appInteractiveplay_arrow

categoryClassificationPredicting a label: the decision boundaries different models draw to separate classesexpand_more

1. Introduction to Classification26 stepsplay_arrow
2. Nearest Neighbour18 stepsplay_arrow
3. Decision Tree32 stepsplay_arrow
4. Confusion Matrix37 stepsplay_arrow
5. Logistic Regression18 stepsplay_arrow
6. Random Forest22 stepsplay_arrow
7. Support Vector Machine31 stepsplay_arrow

Machine Learning: Unsupervised Learning

scatter_plotClusteringFinding groups in unlabelled data by centroid, density, or a hierarchy of mergesexpand_more

1. K-Means34 stepsplay_arrow
2. DBSCAN23 stepsplay_arrow
3. Hierarchical33 stepsplay_arrow