Skip to content

AxelCole/bitcoin-forecasting

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

31 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Case study ST4 MDS

This repo contains all starting files for ST4 MDS case study

Clone this repository

Clone or download this repository to start working

Via ssh

git clone git@gitlab.com:centralesupelec_ds/st4-mds.git

Via http

git clone https://gitlab.com/centralesupelec_ds/st4-mds.git

Installation

Go to path

cd /path/to/st4-mds

Create a virtual environment (you may skip this step if mds_env already exists in your directory)

Using virtualenv

virtualenv -p python3 mds_env

Using conda

conda create -n mds_env python=3.7

Activate virtual environment

Using virtualenv

. mds_env/bin/activate

Using conda

conda activate mds_env

Install requirements

python -m pip install -r requirements.txt

Adding virtualenv to jupyter notebook

Install jupyter

(mds-env)$ python -m pip install jupyter

Add kernel to jupyter

(mds-env)$ ipython kernel install --name mds-env --user

Project Organization

├── README.md          <- Contains desctiption of the project
├── notebook           <- folder for notebook
    ├── case_study_arima_group_n.ipynb <- starter notebook for ARIMA modeling, replace n by the group number
    ├── case_study_rnn_group_n.ipynb <- starter notebook for RNN modeling, replace n by the group number
├── data               <- folder for data
    ├── df_blockchain.csv <- bitcoin and blockchain data from https://blockchain.info/
├── .gitignore

About

School project for Capgemini Invent : Use time series analysis and deep learning for bitcoin forecasting

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors