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2 changes: 1 addition & 1 deletion assignments/assignment1/README.md
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Expand Up @@ -122,7 +122,7 @@ For the first classifier, implement a `LogisticRegression` class similar to how

## 2.2 Linear Discriminant Analysis

The second model you will explore in this assignment is Linear Discriminant Analysis. Implement both a `fit` and `predict` method following the details [https://dillhoffaj.utasites.cloud/posts/linear_discriminant_analysis](described here.)
The second model you will explore in this assignment is Linear Discriminant Analysis. Implement both a `fit` and `predict` method following the details [https://dillhoffaj.utasites.cloud/posts/linear_discriminant_analysis] (described here.)

The parameter update equations were derived via Maximum Likelihood Estimation and can be estimated directly from the data. You do not need to create a covariance matrix for each class. Instead, use a shared covariance matrix which is computed as

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