#30DaysOfDataScience 🔥[Completed]

[BethanyJep]

In this discussion thread, you will be interacting with your fellow participants and chat about anything data science and machine learning.

Don't forget to sign up here https://aka.ms/SignUp30DS

Join the Cloud Skill Challenge too

Click here to sign up for the cloud skill challenge if you haven't 👉👉 https://aka.ms/30DS-Challenge

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WEEK 1

Today is day one of our challenges. What are we doing this week?

👉👉 Find all you need for this week here

• Visit week one blog
• Join the cloud skills challenge
• Register for live session on setting up your local environment
• Register for live session: Create your first program with Python
• Share what you have learnt using the hashtag 30DaysOfDataScience
• Review week 1 resources and get ready for week 2

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WEEK 2

• Visit week two blog
• Join the cloud skills challenge
• Register for live session on data wrangling and manipulation
• Register for live session: Data Visualization
• Share what you have learnt using the hashtag 30DaysOfDataScience

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WEEK 3

• Visit week three blog
• Join the cloud skills challenge
• Register for live session on building and deploying your first regression model
• Register for live session: Build a fraud detection model
• Share what you have learnt using the hashtag 30DaysOfDataScience

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WEEK 4

• Visit week three blog
• Join the cloud skills challenge
• Register for live session on Build a customer segmentation model
• Register for live session: Curate your Data Science Portfolio
• Share what you have learnt using the hashtag 30DaysOfDataScience

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Capstone Project

Find more information here

Share your learning & Feedback!

We want to hear from you!

Share your feedback now

[imvisp]

Really excited for this! 😃🙌

[Nkem-Nwatu]

Hi

[Nkem-Nwatu]

My rps program is woooow!!!🤩🤩🤩

[Mfonisobinna]

I just join guys, hoping to get along well

[Odion-Sonny]

Welcome @MfonisoUdoh 🥳

[KayMohh]

This is lit!!

[ghost]

Looking forward for this great journey!

[danonymous856]

nice

[orusmichael]

I am looking forward to a insightful refreshing learning

[ooseni]

Awesome

[abiroland]

Looking forward to learning and collaborating

[furaha-betty22]

Looking forward to it

[IrenehMichael]

Look forward to learning from the great minds

[ricoguzu]

Excited to be part of this. I am an aspiring ML Engineer

[nasirudeenraheem]

Great to have you.

[Sharzzdevise]

I'm Sharon, great to be a part of this insightful program, looking forward to learning, collaborating, and advancing in data science.

[theoyinbooke]

In this discussion thread, you will be interacting with your fellow participants and chat about anything data science and machine learning.

Don't forget to sign up here https://aka.ms/SignUp30DS

Have you registered yet?

[Champraise]

Just did

[DaviesToluwanimi]

Yes

[analystmajor]

Yes

[Apprentice-doa]

It is exciting to be here

[oladayotimileyin]

Yes! I am happy to be here

[EmmanuelMarv]

Happy to be here

[Joseph-Ndungi]

Looking foward to this

[ALIPHATICHYD]

Seriously anticipating this💪🏾

[KZinatsa]

Lovely initiative to be part of. Great refresher on the topics

[Nofisat-Hamod]

Looking forward to a challenging and exciting experience.

[dreashola]

Looking forward to learning about Python and Azure

[nasirudeenraheem]

I am sure is going to be one of the best experiences in your learning journey.

[BethanyJep]

definitely!

[osinkolu]

Let's go! 🚀

[Hilal1782]

An amazing opportunity for beginners and those who are thinking about pursuing a career in ML and Data Science, to take a sneak peek into machine learning. Looking forward!

[ooseni]

Yes of course

[nasirudeenraheem]

This is for everyone irrespective of your level as a data enthusiast. Welcome

[essex07]

Hi Bethany jep, please link me to the pumpkin data for this week, i can't find it. thanks in anticipation

[BethanyJep]

here it is

[essex07]

how to i download it to use in my vscode

[BethanyJep]

click Ctrl + S to save it locally, you can then add it to your folder and use it locally.

[BethanyJep]

Looking back - Week 3

In week 3, we built two Machine Learning models:

• Salary Predictor Model
• Fraud Detection Model

Did you build along with us? If not, do not worry, all the resources can be found at https://aka.ms/30DS-models

Next week, we will be finalizing, but first, do you have any questions on your portfolio; post the for our speakers here

see you at the finish line!

[Amarabright]

Please can we have the dataset or link to the dataset used for the fraud detection model. Thank you

[BethanyJep]

here it is

[dreashola]

Hi everyone, I was able to follow the video in creating an automated ML model about heart failure predictions and successfully deployed the model. I hope further sessions addressed how to make use of this deployed model and pausing/deleting azure resources.
I'm a bit behind but I hope to catch up this week.

[dreashola]

I figured out how to test the model using sample data from the original data but 2 of the results were wrong, I wonder why

[carlotta94c]

Hi @dreashola, good job so far! 🎉Regarding your question, do you mean that the resulting predicted label is wrong? This is totally fine, machine learning models cannot always predict the right label 😇 there's why evaluation is an important piece of the project, since you can have a general understanding of how well your model is performing on a test subset, rather than analyzing each and every output.

[dreashola]

@carlotta94c Yes, that's what I meant.
Thank you, I hope to get more understanding of it as I dive deeper

[JSekellick]

I feel like I'm super behind everyone else. I am really enjoying learning all this great stuff!

[BethanyJep]

Take your time..., all the learning materials will always be available.

[Martinx44]

do you have an idea where i can find the dataset for the fraud detection model?

[BethanyJep]

here it is

[carlotta94c]

Hi everyone!
We just entered week 4: this week we'll be dealing with clustering, Azure ML and data science portfolios. Check latest blog for all information (https://microsoft.github.io/30daysof/blog/deploy-models)!

If you have any questions, curiosities or doubts about data science portfolios you want us to address during the final Panel scheduled on Thursday 10th November join this discussion -> #144, we want to hear your voice!

[BethanyJep]

Build a customer segmentation model

What is the session about?

Clustering Algorithm will look into your data and find similar patterns, then group the data according to the similar pattern found. A good use case is the Customer Segmentation Model

RSVP | Join Us LIVEEEE!!

[UbongJoseph]

Hi Bethany. I followed your session on building the models in Azure using the Designer and Automated ML option. The data file I uploaded is showing as not-supported
Kindly assist and guide on how I cn run this successfullyy and also delete the resources to save my Azure credit.
Thank you

[BethanyJep]

Hi, which data file did you upload?

[ChrisMunyi]

I setup a Free Azure Account to follow along with the training and did most of the exercises there
However, I recently received an invoice charging my credit card for that period yet I thought it was meant to be a free account
Any help on this, funds are tight right now and paying this amount monthly will be difficult

[BethanyJep]

Hi Chris, as a student you are to use Azure for Students credits. However, as you have been charged, reach out to Microsoft support explaining that you are a student.

[Abdul-Kabeer245]

how do I get free trail without a credit card?

[BethanyJep]

Use Azure for Students

[moa-mel]

please how can I get the note/slide for the fraud detection model?

[BethanyJep]

find them in this blog!

[Abdul-Kabeer245]

How do I get free trail of azure without a credit card?

[BethanyJep]

Hi, you can register for Azure for Students

[BethanyJep]

WRAP UP the year celebrating AI in the GLOBAL AI STUDENT CONFERENCE

Date: December 13, 2022
Live Event Time: 11:00 AM (UTC) 03:00 AM (PT)
RSVP: https://aka.ms/aistudent-conf

Global AI Student Conference is an online event organized by Global AI Community with the Microsoft Learn Student Ambassadors. The event is designed specifically for students and will be on December 13th! Join in to learn the basics of Artificial Intelligence and get to see a showcase of the relevant technologies in action. A line-up of all the sessions and the schedule will be posted soon.

Speaker Line-up

We have an exciting list of speakers and sessions from introduction to AI to building bots and automation.

Register for the conference today!

We welcome students, professors, professionals, educators, tutors, and everyone else passionate about AI to join our event! RSVP now at https://aka.ms/aistudent-conf

[BethanyJep]

WRAP UP the year celebrating AI in the GLOBAL AI STUDENT CONFERENCE

Date: December 13, 2022
Live Event Time: 11:00 AM (UTC) 03:00 AM (PT)
RSVP: https://aka.ms/aistudent-conf

Global AI Student Conference is an online event organized by Global AI Community with the Microsoft Learn Student Ambassadors. The event is designed specifically for students and will be on December 13th! Join in to learn the basics of Artificial Intelligence and get to see a showcase of the relevant technologies in action. A line-up of all the sessions and the schedule will be posted soon.

Speaker Line-up

We have an exciting list of speakers and sessions from introduction to AI to building bots and automation.

Register for the conference today!

We welcome students, professors, professionals, educators, tutors, and everyone else passionate about AI to join our event! RSVP now at https://aka.ms/aistudent-conf

[sirXalfred]

In this discussion thread, you will be interacting with your fellow participants and chat about anything data science and machine learning.

Don't forget to sign up here https://aka.ms/SignUp30DS

Join the Cloud Skill Challenge too

Click here to sign up for the cloud skill challenge if you haven't 👉👉 https://aka.ms/30DS-Challenge

WEEK 1

Today is day one of our challenges. What are we doing this week?

👉👉 Find all you need for this week here

• Visit week one blog
• Join the cloud skills challenge
• Register for live session on setting up your local environment
• Register for live session: Create your first program with Python
• Share what you have learnt using the hashtag 30DaysOfDataScience
• Review week 1 resources and get ready for week 2

WEEK 2

• Visit week two blog
• Join the cloud skills challenge
• Register for live session on data wrangling and manipulation
• Register for live session: Data Visualization
• Share what you have learnt using the hashtag 30DaysOfDataScience

WEEK 3

• Visit week three blog
• Join the cloud skills challenge
• Register for live session on building and deploying your first regression model
• Register for live session: Build a fraud detection model
• Share what you have learnt using the hashtag 30DaysOfDataScience

WEEK 4

• Visit week three blog
• Join the cloud skills challenge
• Register for live session on Build a customer segmentation model
• Register for live session: Curate your Data Science Portfolio
• Share what you have learnt using the hashtag 30DaysOfDataScience

Capstone Project

Find more information here

Share your learning & Feedback!

We want to hear from you!

Share your feedback now

[sirXalfred]

I'm Alfred, great to be a part of this insightful program, looking forward to learning, collaborating, and advancing in data science

[afuhadeck]

Hello all, I am Afuh. I am excited to be joining this program. Let's crush this knowledge down 🥳