Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

changes in ML track #43

Merged
merged 4 commits into from
Jul 19, 2020
Merged

changes in ML track #43

merged 4 commits into from
Jul 19, 2020

Conversation

kabirnagpal
Copy link
Contributor

@kabirnagpal kabirnagpal commented Jul 18, 2020

#40




### Click [here](https://github.com/kabirnagpal/SoA-ML-14/blob/master/week%208.ipynb) to view the Jupyter-Notebook.
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Can we reserve headings for actual headings please?

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I didn't get this issue. Rest has been resolved!

Question to be answered after you complete your notebook
Which of the following algorithm are not an example of ensemble learning algorithm?

A. Random Forest
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

This is going to show up as a normal sentence. If you want numbered lists in markdown you'll need to use

1. something
2. something else

If you don't have any Python Environment, you can also try the code in [Google Colab](https://colab.research.google.com/).


Question to be answered after you complete your notebook
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Please maintain sentence case. In this sentence for example, a full stop is missing.

If you don't have any Python Environment, you can also try the code in [Google Colab](https://colab.research.google.com/).


How to get mean of each column in a Data Frame named `df`?
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Shouldn't we tell people that this question is to be answered after they have gone through the notebook? Like it is now, the question is a little confusing.

@@ -13,7 +13,9 @@ This week we'll learn about:
Click [here](https://github.com/kabirnagpal/SoA-ML-14/blob/master/week%203.ipynb) to view the Jupyter-Notebook.
If you don't have any Python Environment, you can also try the code in [Google Colab](https://colab.research.google.com/)

`mean_squared_error` is a method from which class in Sklearn?

`mean_squared_error` is a method from which class in Sklearn?
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Is metrics a class in sklearn? I thought it was a module.

@@ -6,18 +6,21 @@ Clustering is basically the task of dividing the population or data points into

So in this week we are going to dive deep into the clustering and cover the following topics:

- what is clustering
- What is clustering
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Please follow normal english grammar. For example ending sentences with ? or .

@kabirnagpal
Copy link
Contributor Author

Okay. I’ll look into the changes myself and give another pull request.

@theSage21
Copy link
Member

theSage21 commented Jul 18, 2020 via email

@theSage21 theSage21 closed this Jul 18, 2020
@theSage21 theSage21 reopened this Jul 18, 2020
@theSage21
Copy link
Member

theSage21 commented Jul 19, 2020 via email

@theSage21 theSage21 merged commit fb16ea2 into PyJaipur:master Jul 19, 2020
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants