Add-on complementary resources for Artificial Intelligence and Machine Learning course ITECH7001

Topic	Description	Google Colab Link
01-exploratory-data-analysis.ipynb	Exploratory Data Analysis Basics
02-regression.ipynb	Supervised Learning - Regression
03-classification.ipynb	Supervised Learning - Classification
04.a-clustering.ipynb	Unsupervised Learning - Clustering
04.b-pca-mnist.ipynb	Dimensionality Reduction with PCA
05.a-deep-neural-networks-tensorflow.ipynb	Deep Neural Networks in TensorFlow
05.b-deep-neural-networks-pytorch.ipynb	Deep Neural Networks in PyTorch
06.a-convolutional-neural-networks-tensorflow.ipynb	Convolutional Neural Networks in TensorFlow
06.b-convolutional-neural-networks-pytorch.ipynb	Convolutional Neural Networks in PyTorch
07-transfer-learning.ipynb	Transfer Learning and Finetuning

Note: To work with the notebook in Google Colab, you'll need to have a Google account. If you don't have one, you can sign up for free here. Once you have an account, simply click on the "Open in Colab" button next to the notebook you want to open, and it will launch in your browser.

git clone https://github.com/hkhdair/ai-ml-tute
cd ai-ml-tute

then pull for updates

git pull

If you find any issues or have suggestions for improvements, please feel free to report them by creating an issue in the issue tracker.

If you'd like to contribute to this tutorial, you can do so by opening a pull request. Here are the steps:

1. Fork the repository by clicking the "Fork" button in the top-right corner of the repository page.

2. Clone your fork of the repository to your local machine using Git.

3. Make your changes to the code in your local copy of the repository.

4. Push your changes to your fork of the repository.

5. Create a pull request by clicking the "New pull request" button in the top-right corner of the repository page.

6. Describe your changes and submit the pull request.