stephen

[Matt Dancho (Business Science) @mdancho84]

It took me 5 years to master all 24 of these machine learning concepts.

In the next 24 days, I'll teach them to you one by one (with examples of how I've used them). Here's what's coming:

1. Linear Regression
2. Clustering
3. Decision Tree
4. Neural Networks
5. Reinforcement Learning
6. Logistic Regression
7. Naive Bayes

[PyQuant News 🐍 @pyquantnews]

Myth:

You need a computer science degree to get started with Python, NumPy, and pandas.

Reality:

You need these 8 YouTube videos:

[Param @Param_eth]

He made me fall in love with linear algebra.

This is not a lecture; this is an art.

Thank you, MIT :)

[Param @Param_eth]

I still cannot believe I took an entire BLOCKHAIN course from MIT is FREE.

[Jay Alto @theJayAlto]

this might be the best video i've watched on how to actually learn anything

[ₕₐₘₚₜₒₙ @hamptonism]

If you’re a guy in your 20’s,

Build a powerful library.

[ₕₐₘₚₜₒₙ @hamptonism]

If you’re a guy in your 20’s,

Learn Machine Learning in Finance.

[Skai. @superSaiyanSkai]

Day 10 of 30, sharing YouTube videos that will unlock your full potential.

[Dan Kornas @DanKornas]

Data Science is more than just crunching numbers—it’s built on four important pillars that help us turn data into actionable insights.

[Eyo Eyo, PhD @Eyowhite3]

Employers cannot reject your job resume if you use examples from these sites.

[Saurabh Kumar @drummatick]

Go and read this book.

You will get the practical experience you’re lacking

[The Culturist @the_culturist_]

I asked X: "Which book changed your perspective on life more than any other?"

After THOUSANDS of replies, these were the top 50.

The ultimate 2025 reading list… (bookmark this) 🧵

[Quant Science @quantscience_]

2 books every algorithmic trader needs:

[Fantasy Farmer @TFFDudes]

Week 14 Waiver Wire Adds, and Stocking Stashes

Week 14 Waivers are here, its crunch time! Don’t get distracted by the eggnog and Christmas cheer; it’s time to focus.

Let’s hammer down and land this sleigh together!

Waiver Thread below 🧵

[Quant Science @quantscience_]

JP Morgan's Python training.

Available 100% for free:

[Joshua Cho @jbchoknows]

🚨Waiver Wire ADDS: NFL WEEK 14🚨

So many byes, oh my! Keep your eyes on the prize! 🏆 Hope you had a Happy Thanksgiving! 🦃 Here are some MUST ADDS for Fantasy Football WK14!

BONUS: Defense Streamers included in thread! Let’s get it! 👊

[Akshay 🚀 @akshay_pachaar]

Pandas is getting outdated.

5 reasons you should move to FireDucks 👇

1. Requires changing ONLY ONE line of code:
↳ Replace "𝗶𝗺𝗽𝗼𝗿𝘁 𝗽𝗮𝗻𝗱𝗮𝘀 𝗮𝘀 𝗽𝗱" with "𝗶𝗺𝗽𝗼𝗿𝗲 𝗳𝗶𝗿𝗲𝗱𝘂𝗰𝗸𝘀.𝗽𝗮𝗻𝗱𝗮𝘀 𝗮𝘀 𝗽𝗱"
↳ The rest of the entire code remains the same.
↳ So, if you know Pandas, you already know how to use FireDucks.
↳ Done!

2. Ridiculously faster as per official benchmarks:
↳ Modin had an average speed-up of 0.9x over Pandas.
↳ Polars had an average speed-up of 39x over Pandas.
↳ But FireDucks had an average speed-up of 50x over Pandas.

3. Pandas is single-core; FireDucks is multi-core.

4. Pandas follows eager execution; FireDucks is based on lazy execution. This way, FireDucks can build a logical execution plan and apply possible optimizations.

5. That said, even under eager execution, FireDucks is way faster than Pandas, as depicted in the image below.

Learn how to use FireDucks here: https://t.co/fWi3V9bvuu

👉 Over to you: What are some other ways to accelerate Pandas operations?
_____
Find me → @akshay_pachaar ✔️
For more insights and tutorials on AI and Machine Learning!

[Chris O'Brien @17gamepace]

Thanks for reading!

I’m posting daily fantasy threads to help you dominate your league.

Drop a follow and like the first tweet if you enjoyed! 👇

[Ian Hartitz @Ihartitz]

DST:

Easiest: JAX, IND, BUF, TB, SEA
Hardest: NE, PIT, HOU, NYJ, CAR

BUF closes strong, but not really a good real life defense with a great end-of-season schedule unfortunately. Mostly down to continue to ride with TB the rest of the way if possible.

[FFSnoog | Fantasy Football @FFSnoog]

My Fantasy Football Discord with @DynastyDadFF ⬇️