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chore: add links for codes, Jupyter notebooks and datasets in README.

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@@ -8,6 +8,30 @@ This repository gathers comprehensive material for the SPPU Computer Engineering
### Notes
### Codes
1. [Code-1 (Linear Regression using Deep Neural Network)](Codes/Code-1.md)
2. [Code-2b (Classification using Deep Neural Network)](Codes/Code-2b.md)
3. [Code-3a (Convolutional Neural Network - Plant Diseases)](Codes/Code-3a.md)
4. [Code-3b (Convolutional Neural Network - MNIST Fashion Dataset)](Codes/Code-3b.md)
5. [Code-4 (Recurrent Neural Network - Google Stock Price Dataset)](Codes/Code-4.md)
### Jupyter Notebooks
1. [Notebook-1 (Linear Regression using Deep Neural Network)](Notebooks/Notebook-1.ipynb)
2. [Notebook-2b (Classification using Deep Neural Network)](Notebooks/Notebook-2b.ipynb)
3. [Notebook-3a (Convolutional Neural Network - Plant Diseases)](Notebooks/Notebook-3a.ipynb)
4. [Notebook-3b (Convolutional Neural Network - MNIST Fashion Dataset)](Notebooks/Notebook-3b.ipynb)
5. [Notebook-4 (Recurrent Neural Network - Google Stock Price Dataset)](Notebooks/Notebook-4.ipynb)
### Datasets
1. [Dataset for Practical-1 (Boston House Price)](Datasets/boston.csv)
2. [Dataset for Practical-2b (IMDB Reviews)](Datasets/IMDB%20Dataset.csv)
3. [Dataset for Practical-3b (MNIST Fashion)](Datasets/fashionmnist.zip)
4. [Dataset for Practical-4 (Google Stock Price)](Datasets/GOOG.csv)
### Assignments
- [Questions - Assignment 1 and 2](Assignments/DL%20-%20Assignments-1+2%20%28Questions%29.pdf)