Welcome to the the Env-Res Artificial Intelligence Training Course GitHub page. You can find copies of the slides, and problem and solution notebooks for exercises here.
This python-based course assumes that you're using the following tools:
- Anaconda
- Python 3+
- Numpy
- Pandas
- Scikit-learn
- Keras
- Tensorflow
To install python 3+ and anaconda on a windows machine, visit https://www.anaconda.com/distribution/
You may use pip or install libraries from source but these won't be supported
For UNIX/LINUX, python is preinstalled. Check your version by running python --version You can download the appropriate anaconda distribution from the anaconda website, or wgetting their tarballs.
In the anaconda prompt for windows, or the UNIX/LINUX terminal, run the following commands
conda create -n machine_learning python=3.7
conda activate machine_learning
conda install numpy
conda install pandas
conda install scipy
conda install -c conda-forge scikit-learnThis instruction set assumes you are not using CUDA-capable discrete GPUs. If you are, see the Keras and TensorFlow documentation for your installation directions.
In anaconda prompt or terminal, type the following
conda create -n deep_learning python=3.6
conda activate deep_learning
conda install -c anaconda kerasThe root directory contains a Deck folder, and the Day 1 and Day 2 folders that contain all the relevant problem and solution jupyter notebooks