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Added links to codes, notebooks and datasets in readme.

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@@ -10,6 +10,24 @@ This repository contains vital resources for the Machine Learning course under t
### Codes
1. [Code-1 (Uber)](Codes/Code-1.md)
2. [Code-2 (Spam Email Detection)](Codes/Code-2.md)
3. [Code-4 (Gradient Descent Algorithm)](Codes/Code-4.md)
4. [Code-6 (Clustering)](Codes/Code-6.md)
### Jupyter Notebooks
1. [Notebook-1 (Uber)](Notebooks/Notebook-1.ipynb)
2. [Notebook-2 (Spam Email Detection)](Notebooks/Notebook-2.ipynb)
3. [Notebook-4 (Gradient Descent Algorithm)](Notebooks/Notebook-4.ipynb)
4. [Notebook-6 (Clustering)](Notebooks/Notebook-6.ipynb)
### Datasets
1. [Dataset for Practical-1](Datasets/uber.csv)
2. [Dataset for Practical-2](Datasets/emails.csv)
3. [Dataset for Practical-3](Datasets/sales_data_sample.csv)
### Assignments
- Assignment-1: