Assignments

1- This assignment aims at developing a linear regression model to estimate the delays in flights. The link to the data is provided however, there are missing values and data cleansing is required. Besides, the delay is given in multiple fields which should be merged. The detailed description of the assignment is given here. Deadline April 30 (extended)

2- In this assignment random forest model is used for prediction. The details of the assignment is available here. Deadline May 6 (extended)

3-L2 regularization adds sum squared of weights to the cost function. We have the option of adding sum of the absolute values of the weights to the cost function. This regularization is called L1 regularization Discuss the differences between L1 and L2 and how they affect the structure of neural networks. Due date: April 27, 2020 (Extended)

4-The aim of the assignment is developing a neural network in python using keras and tensorflow to identify the digits. Try training with different epochs (20,30,50) Use L1 and L2 regularizations and discuss their impact. In a subset of randomly selected 200 images, apply 3 pixels shift. Can the network identify them correctly (do not train your model again!)
Due date: May 15

5- In ResNet there are connections from a previous layer added to the output of the current layer. Explain why these connections are used and what is their importance. Due date: 22 May.

Sample Keras Code