This repo is all about practical implementation of all kinds of coding. The goal is to provide a place for future blog posts, courses, projects, and more that don't need their own repo but rather just juypter notebooks running.

Enjoy!

1. Clone this repo with git clone https://github.com/codingforentrepreneurs/Notebooks.git

2. Create a virtual environment (either pipenv, virtualenv, or venv)

3. Install requirements (either with pipenv or pip install -r requirements.txt)

4. Run jupyter notebook within this repo.

5. Navigate to src/ to find the notebooks.

Various notebooks we're working on from either our blog (cfe.sh/blog) or as general research.

Doing an API call within pandas is awesome and helps enrich your data. Check it out with this notebook.

Topics include: pandas, python, jupyter, python requests, api calls

Classify text using a neural network in this notebook; we'll do a complex classification so it's more robust than a simple binary classification. There's not actually a lot to it. Let's take a look.

Topics include: keras, deep learning, neural networks, tensorflow, machine learning, python