notebook with snippets of basic python code

using add-ons for Python : installing + importing + programming

notebook about data transformation and model building

first notebook about machine learning (supervised + unsupervised) with case study and exercise

second notebook about machine learning (another case study + multiple linear regression)

third notebook about machine learning (clustering and connecting to an LLM)

notebook about NLP and frequency-based vectorization methods (bag of words + TF/IDF)

notebook about vectorization with Gensim + Word2Vec and sentiment analysis with BERT + BART