Register
Login
Resources
Docs Blog Datasets Glossary Case Studies Tutorials & Webinars
Product
Data Engine LLMs Platform Enterprise
Pricing Explore
Connect to our Discord channel
Integration:  git github
4396d519bc
[Setup] building ml pipeline
1 year ago
src
4396d519bc
[Setup] building ml pipeline
1 year ago
2dc5f21bd9
Inital setup
1 year ago
2dc5f21bd9
Inital setup
1 year ago
ff62549565
[Update] params file
1 year ago
2dc5f21bd9
Inital setup
1 year ago
Storage Buckets

README.md

You have to be logged in to leave a comment. Sign In

course-ds-base

Preparation

1. Fork / Clone this repository

git clone https://github.com/iterative/course-ds-base.git
cd course-ds-base

2. Create and activate virtual environment

Create virtual environment named dvc-venv (you may use other name)

python3 -m venv dvc-venv
echo "export PYTHONPATH=$PWD" >> dvc-venv/bin/activate
source dvc-venv/bin/activate

Install python libraries

pip install --upgrade pip setuptools wheel
pip install -r requirements.txt

Add Virtual Environment to Jupyter Notebook

python -m ipykernel install --user --name=dvc-venv

Configure ToC for jupyter notebook (optional)

jupyter contrib nbextension install --user
jupyter nbextension enable toc2/main

3. Run Jupyter Notebook

jupyter notebook
Tip!

Press p or to see the previous file or, n or to see the next file

About

No description

Collaborators 1

Comments

Loading...