ml-for-business

setup virtual env

Get brew install pyenv pyenv-virtualenv

Then install python3.

See all available versions pyenv install -l

Install stable version 3 like pyenv install 3.9.7

Then create a virtual env giving it a name (py3 here)

pyenv virtualenv 3.9.7 py3

Add to .zshrc

eval "$(pyenv init -)"

export PATH="$(pyenv root)/shims:$PATH"
export PATH="$(pyenv root)/bin:$PATH"

Add to .zprofile

eval "$(pyenv init --path)"

Above steps are all one-time.

Now create a new terminal. In the folder where you want to use py3: pyenv local py3

Now everytime you enter that folder it will automatically switch to py3

Verify by:

$python -V 
$pyenv which python

Run pip install -r requirements.txt to install all required libraries.

Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
hw0		hw0
hw1		hw1
hw2		hw2
hw3		hw3
recommendation		recommendation
timeseries		timeseries
.gitignore		.gitignore
README.md		README.md
example_employee_churn_prediction.ipynb		example_employee_churn_prediction.ipynb
example_nlp_stock_tweets.ipynb		example_nlp_stock_tweets.ipynb
example_nlu_ner_spacy.ipynb		example_nlu_ner_spacy.ipynb
example_nlu_training_named_entity_recognition_using_spacy.ipynb		example_nlu_training_named_entity_recognition_using_spacy.ipynb
example_pandas.ipynb		example_pandas.ipynb
example_telco_churn_prediction_trees.ipynb		example_telco_churn_prediction_trees.ipynb
example_timeseries_airline_passenger.ipynb		example_timeseries_airline_passenger.ipynb
requirements.txt		requirements.txt