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
cdinto 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
cdinto 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.