Update README.md

README.md

@@ -4,4 +4,13 @@ Conducting **one-vs-all** classification on the 'penguins.csv' dataset using bot
 ## [Decision_Tree](https://github.com/fardinabbasi/Decision_Tree)
 Performing a Decision Tree classifier on the 'Diabetes.csv' dataset to distinguish between diabetes and non-diabetes cases.
 ## [Expectation_Maximization](https://github.com/fardinabbasi/Expectation_Maximization)
-Implementation of **EM algorithm**, and performing **GMM estimation** on an image dataset containing images of Manchester United and Chelsea football clubs in order to classify them.
+Implementation of **EM algorithm**, and performing **GMM estimation** on an image dataset containing images of Manchester United and Chelsea football clubs to classify them.
+## [Linear_Regression](https://github.com/fardinabbasi/Linear_Regression)
+Performing regression of several degrees on generated data points affected by white and Poisson noise. Additionally, studying its **MSE loss** and **bias-variance trade-off**.
+## [Logistic_Regression](https://github.com/fardinabbasi/Logistic_Regression)
+Implementing logistic regression with **L2** Regularization **from scratch** to classify two circular datasets.
+## [Neural_Networks](https://github.com/fardinabbasi/Neural_Networks)
+### Multi Layer Perceptron
+Performing an MLP model on the ECG signals dataset.
+### Convolutional Neural Networks
+Performing a CNN model on the CIFAR-10 image dataset.