https://github.com/anuragkapur/udacity-into-to-machine-learning

machine-learning python scikit-learn udacity-intro-to-machine-learning

Last synced: 3 months ago
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Host: GitHub
URL: https://github.com/anuragkapur/udacity-into-to-machine-learning
Owner: anuragkapur
Created: 2020-03-28T21:14:08.000Z (over 6 years ago)
Default Branch: master
Last Pushed: 2020-06-22T09:33:30.000Z (about 6 years ago)
Last Synced: 2025-03-28T09:43:28.343Z (over 1 year ago)
Topics: machine-learning, python, scikit-learn, udacity-intro-to-machine-learning
Language: Jupyter Notebook
Homepage: https://www.udacity.com/course/intro-to-machine-learning-nanodegree--nd229
Size: 43.9 MB
Stars: 0
Watchers: 2
Forks: 1
Open Issues: 0
Metadata Files:
- Readme: README.md

README

# Introduction to Machine Learning (Udacity Course)
Notes, exercises, examples etc

# Setup and commands
## Conda environments
### Create env
```
conda create --name default37 python=3.7

#
# To activate this environment, use
#
# $ conda activate default37
#
# To deactivate an active environment, use
#
# $ conda deactivate

```
### List envs
```
conda env list
```
### Remove an environment
```
conda remove --name ak-default --all
```

## Handling packages in an environment
```
# Activate env to install into
conda activate default37

# List packages already installed in env
conda list

# Install a new package
conda install
```

## Install required packages
```
conda install python=3.7
conda install jupyter notebook
conda install nb_conda
```

# References
* [Conda - User Guide](https://docs.conda.io/projects/conda/en/latest/user-guide/index.html)