Preparing for the Data Science and Machine Learning Job Interview

Chat room

The following Gitter chatroom will be monitored during the workshop and everyone is encouraged to continue the conversation in this Gitter community.

How to use this repository

The following decribes the contents of the repository, agenda and how to start using the notebooks.

Note: The workshop will use Python 3.6+ and Jupyter.

Organization

Folder	Description
data	Instructions on getting the data for the workshop
stats_workshop	Introduction to statistical thinking
machine_learning_foundations	ML foundations and classicial ML
interview_mythbusting	Interviewing myths and truths
deep_learning	Introduction to deep learning
mlops	ML models in production

Agenda

[TBD]

Getting started

Running Jupyter directly on a local (host) machine

• Install Python 3.6+.

• Clone the repository and cd into the repository.

  git clone https://github.com/MLWorkshops/mlinterviews.git
  cd mlinterviews
  

• Install the required Python packages with the included requirements file.

  pip install -r requirements.txt
  

• Start the Jupyter notebook server (option 1) or Jupyter Lab (option 2) in the same folder as the repository.

  • Starting Juypter notebooks:

  jupyter notebook
  

  • Starting Jupyter Lab:

  jupyter lab
  

Running Jupyter inside a docker container

• Install docker (Docker for Mac)

• Clone the repository and cd into the repository.

  git clone https://github.com/MLWorkshops/mlinterviews.git
  cd mlinterviews
  

• Pull the docker image from dockerhub

  make pull
  make docker-run
  

• Open in your browser the following link http://127.0.0.1:8888/?token=<.....> printed out in your terminal.

Note: If no link with a token is printed out in your terminal, then open this link http://127.0.0.1:8888/ in your browser.