Introduction to Machine Learning and Artificial Intelligence

Setting up the conda environments

Set up conda environment for Python

conda create -n ml_training_py python=3.7 matplotlib numpy pandas scipy scikit-learn tensorflow more-itertools seaborn pip jupyter

conda install -n ml_training_py -c conda-forge plotnine shap jupyterlab

Activate environment for Python

conda activate ml_training_py

Deactivate environment for Python

conda deactivate

Set up conda environment for R

Note: It includes RStudio, and the ISLR pachage with examples used in the book "An Introduction to Statistical Learning".

#conda install r-caret
#conda update r-caret
conda create -n ml_training_r r-ISLR r-essentials r-base
conda install -n ml_training_r -c r rstudio

Activate environment for R

conda activate ml_training_r

Start RStudio

rstudio

Deactivate environment for R

conda deactivate

Textbooks

1. The Elements of Statistical Learning, Website
2. An Introduction to Statistical Learning, Website, Course, Course @ Data School
3. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition, Git
4. Interpretable Machine Learning

Courses

1. Data School
2. Andrew Ng's "Machine Learning"