Join 📚 Kevin's Highlights
A batch of the best highlights from what Kevin's read, .
• Finding and Understanding the Data
• Cleaning the Data and Feature Engineering
• Tuning and Evaluating
• Using the Model and Presenting Results
The Machine Learning Process
Codecademy
this is how you would use it with a Python script. We first define the match:
```yaml
- trigger: ":pyscript"
replace: "{{output}}"
vars:
- name: myvar
type: echo
params:
echo: "my variable"
- name: output
type: script
params:
args:
- python
- /path/to/your/script.py
```
And then, inside the script:
```python
/path/to/your/script.py
import osmyvar = os.environ['ESPANSO_MYVAR']# Do whatever you want with the myvar variable
```
You don’t have to know how to code to participate, though! There are many different ways to participate, including:
• Writing a blog post or social media post highlighting an open source project that you find interesting
• Exploring documentation
• Triaging issues
• Writing issues
• Attending an event that focuses on open source
• Exploring open source projects to contribute to
How to Join the #100daysofOSS Challenge and Embrace the Power of Open Source
BekahHW
...catch up on these, and many more highlights
Readwise