MLben

Machine learning 🧠 || Chess ♟|| Parkruns 🏃🏿‍♂️

[MLben @BenMLDS]

Check out Designing The Life You Want: 4 Exercises for Clarity and Motivation, and get @Skillshare free for 1 month.https://t.co/7L6TVh87Sc

[Gus (🤖🧠+🐍+🥑🗣️) @gusthema]

There, fixed for you

[Leo Polanco/SimRacing51 @lxhamilton44]

This sh!t right here got me laughing so hard!! I got a headache! 🤣🤣🤣🤣 OMG! Forever a clown champion man! Look at the Masi photo on the back 🤣🤣🤣https://t.co/8BcWACFVI5

[You're On Your Own, Kid 🍉 @CultLH]

This entire clip should be sent to the @fia & @Ben_Sulayem coz Ted absolutely nailed every question that needs answering. Especially the last one. What exactly happened in those 4 minutes? #WeStandWithLewisHamilton

[MLben @BenMLDS]

@MercedesAMGF1 How much?

[MLben @BenMLDS]

View my verified achievement from @microsoft. https://t.co/c1bKWuOG2R

[MLben @BenMLDS]

@meyke9976 @KenJee_DS @Microsoft Congratulations!!!

[MLben @BenMLDS]

Day 10 - 11

Reviewed the intuition behind transforming features into a higher dimension to make them linearly separable and how this increases complexity. It only makes sense that my next stop is at Kernels avenue.

#66DaysofData

[MLben @BenMLDS]

Day 9

Finished my GitHub hosted data science portfolio. Back to non-linear classifiers tomorrow #66daysofdata

[MLben @BenMLDS]

Day 8

Watched "Git & GitHub Crash Course For Beginners" by Traversy Media. I'll use this knowledge and one of Ken Jee's videos to create a Git hosted data science portfolio

#66daysofdata

[MLben @BenMLDS]

Day 6-7 of #66daysofdata

Still having fun with the breast cancer dataset. It's kinda impressive how all that math involved in large margin classifiers equates to 2 lines of code, excluding cross validation. It almost feels like cheating. Ready to review non-linear classifiers.

[MLben @BenMLDS]

Day 5 of #66daysofdata

Still working on the breast cancer dataset. Read a few articles on feature scaling and dealing with outliers.

[MLben @BenMLDS]

Day 4 of #66daysofdata

Started working on Sklearn's tumor dataset. I will be applying everything I've reviewed so far.

[MLben @BenMLDS]

Day 3 of #66daysofdata

• Generalization of linear classifiers
• Cross Validation
• Gradient Descent
Still just revision

[MLben @BenMLDS]

Day 2 of #66daysofdata

Focused on margin boundaries, more specifically the objective function that aims to maximize the margins while minimizing the average loss(Hinge loss).

[KDnuggets @kdnuggets]

Build a #DataScience Portfolio that Stands Out Using These Platforms #KDN https://t.co/mriWo2N1PR

[MLben @BenMLDS]

I decided to go back and review the basics just so I can build some momentum going into the projects I have planned. Today I focused on Linear classifiers. I am now comfortable with the perceptron, average perceptron and pegasos algorithms. Let this be Day 1 of my #66daysofdata

[MLben @BenMLDS]

Finally got my computer fixed, lost all my applications though. I'll take the next 2 days to reinstall everything. #66daysofdata

[Jack Raifer Baruch @JackRaifer]

#DataScience #entrepreneur community.
Join us on Discord.
https://t.co/mWRVNb7Rjr

[Kareem Carr, Ph.D. @kareem_carr]

data science