Codecademy Data Science Path: OkCupid - Date a Scientist Portfolio Project

This work is the machine learning portfolio project for Codecademy Data Scientist path.

Files

The repository includes the following files:

• date-a-scientist.ipynb: Jupyter Notebook with analysis description, code and models
• profiles.zip: zip archive containing a CSV file with data used by date-a-scientist.ipynb
• CC-DSpath39.yml: conda environment used for creating the Notebook (some package are not used by this Notebook because this is the environment I used for the whole Codecademy course)

Dataset

The CSV file used for this project is zipped because it is larger than 100 MB when unzipped. Files over this threshold are not accepted in normal pushes to (for this reason the unzipped file is listed in this repo's .gitignore).
Remember to unzip profiles.zip before running the date-a-scientist.ipynb notebook.

Install Conda

is required for creating the development environment (it is suggested to install Miniconda).

From terminal navigate to the repository base directory.
Use the following command in your terminal to create an environment named CC-DSpath39.

conda env create -f CC-DSpath39.yml

Install Spacy Model

The date-a-scientist.ipynb notebook uses Spacy for natural language processing.
Spacy's models are not pre-installed, they have to be downloaded.
We are interested in en_core_web_sm, a small model for NPL.
Open the terminal and activate CC-DSpath39, the new environment.

conda activate CC-DSpath39

Then run the following command to install en_core_web_sm:

python -m spacy download en_core_web_s

Finally you can open jupyiter notebook

jupyter notebook

and load date-a-scientist.ipynb from the graphic interface.