Skip to content
#

learning-by-doing

Here are 24 public repositories matching this topic...

This repository is a comprehensive guide for learning data science using Python. It covers various essential libraries and tools commonly used in the field of data science, including Jupyter Notebook, Matplotlib, NumPy, Pandas, Scikit-learn, and PyTorch.

  • Updated Jun 21, 2023
  • Jupyter Notebook

Basic text preprocessing operations shown in jupyter notebook. You can play with them and look what are they doing. For stemming and lemmatization there are different options, I showed only what I prefer to use. Repository contains the data to play with taken from kaggle (can also be found here on github), but for convenience I attach it here.

  • Updated Jul 27, 2022
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the learning-by-doing topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the learning-by-doing topic, visit your repo's landing page and select "manage topics."

Learn more