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with Matt Harrison
Learn about common machine learning algorithms, their pros and cons, and develop hands-on skills to leverage them.
Applied machine learning: Algorithms
What you should know
K-means
K evaluation
Understanding clusters
Other algorithms
Challenge: Apply KNN
Solution: Apply KNN
PCA
Structure of components
Components
Scatter plot
Challenge: Utilize PCA
Solution: Utilize PCA
Linear regression algorithm
scikit-learn
Real-world example
Assumptions
Challenge: Develop a linear regression model
Solution: Develop a linear regression model
Logistic regression algorithm
Basic example
Challenge: Construct a logistic regression model
Solution: Construct a logistic regression model
Decision tree algorithm
Random Forest and XGBoost
Challenge: Design a decision tree model
Solution: Design a decision tree model
Next steps