CFE Notebooks

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!

Getting Started

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.

Notebooks

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

API Calls within a Pandas Dataframe API using Pandas Apply.ipynb

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

Multiple Category Classification with Keras, Tensorflow, Pandas, Numpy, & Python.ipynb

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