01_Exercises
This directory contains 5 workflows.
01_Clustering_exercise
Introduction to Machine Learning Algorithms course - Session 4 Exercise 1 - Filter rows - Train a k-Means model - Visualize clustered entries on Scatter […]
02_Missing_Value_Handling_exercise
Introduction to Machine Learning Algorithms course - Session 4 Exercise 2 Handle missing values in the data by - Setting them to a fixed value (zero) - […]
03_Outlier_Detection_exercise
Introduction to Machine Learning Algorithms course - Session 4 Exercise 3 Detect and remove outliers in the data using the following techniques: - […]
04_Dimensionality_Reduction_exercise
Introduction to Machine Learning Algorithms course - Session 4 Exercise 4 Apply the following dimensionality reduction techniques to the data: - Filter […]
05_Feature_Selection_exercise
Introduction to Machine Learning Algorithms course - Session 4 Exercise 5 - Combine previously splitted train and test set - Search for the most […]