Coursera: IBM Data Science Professional Certificate

Course 9: Machine Learning with Python

Purpose:

• The final project for the Machine Learning segment of IBM's Data Science certificate is optinal and labeled as Honors. In the project, a rainfall dataset from the Australian Government's Bureau of Meteorology will be used. The dataset will be cleaned and different classification algorithms will be applied to the data.

Below is from the assignment itself

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You are expected to use the following algorithms to build your models:

1. Linear Regression
2. KNN
3. Decision Trees
4. Logistic Regression
5. SVM

The results are reported as the accuracy of each classifier, using the following metrics when these are applicable:

1. Accuracy Score
2. Jaccard Index
3. F1-Score
4. LogLoss
5. Mean Absolute Error
6. Mean Squared Error
7. R2-Score