Want to become a Data Scientist? Here are some great resources that you should watch in order;Statistics & Linear Algebra Not Included 🧵
#100DaysOfCode #100DaysOfMLCode #DataScience #AI #MachineLearning #ArtificialIntelligence #ML #Coding #Coders #PyTorch #Tensorflow #Developer
Part 1 of Microsoft's Intro to Python Series:
Gets you up and running in python and introduces you to the basics of setting up your development environment.
youtube.com/playlist?list=…
Continuation of the series above.
youtube.com/playlist?list=…
After Completing the videos above, it's time to put what you learn into practice in a Notebook environment. There's no better place to do that than in #kaggle. Kaggle is a great place to find datasets and see what others have done with them. Applied Python
kaggle.com/learn/python
Next, and arguably the most important part of Data Science, is getting familiar with #Numpy and #Pandas. To do that we are going to be going through some of the courses on @dataquestio . Their courses are great and hands on.
dataquest.io/course/pandas-…
Okay so what now?? More Pandas, that's what! We continue with the hands on Kaggle course on pandas. You might have realized that their is a theme happening now. Practice! Practice! Practice! Repeat!

kaggle.com/learn/pandas
Next, we are going to start delving into the world of Machine Learning. Again the courses at Kaggle come to our aid, with their Intro to Machine Learning Tutorials!

kaggle.com/learn/intro-to…
What comes after intro? You guessed it! We are now going to go through the Intermediate Machine Learning Course, also on Kaggle!

kaggle.com/learn/intermed…
Okay so now we are getting comfortable manipulating our data, cleaning it, modelling. So what next? It's time for you to pick a small project and start it.

I hear you saying:
Where do I start? What project should I pick?

Up to you, that's for you to figure out!
Okay, so we finished our first project, we are now more comfortable coding. We started having a feel for the Data Science Workflow, what now?

Let's dive into the world of deep learning:

I can't recommend @AndrewYNg's course enough:
coursera.org/specialization…
You should now have a solid theoretical foundation for most of the deep learning concepts. But if after completing it you feel like you want some more practical knowledge. I highly recommend @deeplizard's youtube playlist Deep Learning with Pytroch
youtube.com/playlist?list=…
The course above will provide you with more familiarity with object oriented programming concepts and will give you a whole new perspective to working with deep learning frameworks.
Finally, Last but definitely not least, we have @jeremyphoward and @GuggerSylvain's Intro to Fast AI V2. Arguably the fastest (no pun intended) way to get into deep learning. You start with high level concepts and then dive into the nitty gritty details.
youtube.com/playlist?list=…
One more thing, you will feel overwhelmed, you will feel like you don't know anything? Keep pushing through! This feeling will slowly fade over time!💪💪💪

This is only the beginning, keep on learning! Did I miss anything?? If I did comment down below. #100DaysOfCode #AI #ML
Watch until video 36.
Watch until video 17.

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with AbdulHamid Merii

AbdulHamid Merii Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!

Follow Us on Twitter!