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Exercises

This directory contains 9 workflows.

Icon00_​Decision_​Tree 

Introduction to Machine Learning Algorithms course - Session 1 Exercise 1 - Partition data into training and test set - Train a decision rree model - Apply […]

Icon01_​Linear_​Regression 

Introduction to Machine Learning Algorithms course - Session 2 Exercise 1 - Partition data into train and test set - Train a linear regression model - Apply […]

Icon02_​Regression_​Tree 

Introduction to Machine Learning Algorithms course - Session 2 Exercise 2 - Partition data into train and test set - Train a Regression Tree model - Apply […]

Icon03_​Random_​Forest 

Introduction to Machine Learning Algorithms course - Session 2 Exercise 3 - Train a Random Forest model - Apply the model to the test set - Evaluate the […]

Icon04_​Logistic_​Regression 

Introduction to Machine Learning Algorithms course - Session 2 Exercise 4 - Train a logistic regression model - Apply the model to the test set - Evaluate […]

Icon05_​Missing_​Value_​Handling 

Introduction to Machine Learning Algorithms course - Session 4 Exercise 2 Handle missing values in the data by - Setting them to a fixed value (zero) - […]

Icon06_​Outlier_​Detection 

Outlier Detection Introduction to Machine Learning Algorithms course - Session 4 Exercise 3 Detect and remove outliers in the data using the […]

Icon07_​Dimensionality_​Reduction 

Dimensionality Reduction Introduction to Machine Learning Algorithms course - Session 4 Exercise 4 Apply the following dimensionality reduction […]

Icon08_​Feature_​Selection 

Feature Selection Introduction to Machine Learning Algorithms course - Session 4 Exercise 5 - Combine previously splitted train and test set - […]