tlamtran/FuturiceBlogsAnalytics

Futurice Blogs Analytics - Data science project

This repository contains the code and resources for a data science project conducted on behalf of Futurice. The project aims to analyze blogs created by Futurice.

You can find slides of our final presentation in this repo!

Project Directory Structure

The project directory is organized as follows:

• data/: This directory is used to store both raw and processed data.

  • raw/: Contains raw, unaltered data files.
  • processed/: Contains cleaned, transformed, and preprocessed data.

• notebooks/: Jupyter notebooks for exploratory stuff such as data analysis and visualization.

• src/: Python source code for data preprocessing, modeling, and other functions.

• results/: This directory is for storing model checkpoints, plots, and other results.

• environment.yml: Specifies the Python environment and dependencies required for the project. Use conda to create this environment.

• README.md: This file, providing an overview of the project structure and instructions for setup and usage.

Getting Started

Follow these steps to set up and run the project locally:

1. Clone this repository:
   1. git clone https://github.com/tlamtran/FuturiceBlogsAnalytics
2. Conda is recommended to easily install all the dependencies in an isolated manner:
   1. conda env create -f environment.yml (This might take a while)
   2. conda activate futurice-blogs-env