praneet singh

A Trend Follower. Loves Stock Market.

[praneet singh @praneet_trader]

Didn't expected this from @amazonin. Very pathetic service provided for one of my purchase. Always a false promises. I am a long time customer for @amazon. If you can't provide the service as promised then don't sell and charge us.

[DataLemur 🐵 | Ace the SQL Interview @DataLemurHQ]

𝗦𝗤𝗟 𝗧𝘂𝘁𝗼𝗿𝗶𝗮𝗹 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 / 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲:

31 interactive SQL lessons lessons for FREE.
20+ practice exercises which you solve directly in the browser - no installation needed.

🔗 https://t.co/wwn6dBGaGH

[Akshay 🚀 @akshay_pachaar]

This should be impossible!

In just 3 lines of code, this open-source library can clean any ML dataset!

You can:
- flag outliers
- find label errors
- identify near duplicates
- perform active-learning
- find out of distribution samples
- And more ...

Introducing Cleanlab 🚀

A Confident Learning based Python library that works with:

- Any data ( text, image, tabular, audio, etc. )
- Any ML tasks ( classification, tagging, entity recognition, prompting LLMs & more ... )

Check this out👇

You must be wondering how it works! 💭

Cleanlab is developed by folks at MIT, and it's powered by a novel algorithm called Confident Learning!

Below, I have provided a simplified explanation of the same!

Check this out👇

Cleanlab also has a no-code studio that let's you clean any data & train robust models in just a few clicks!

I have shared all the relevant links in the next tweet!

That's a wrap, thanks for reading!

Find me → @akshay_pachaar ✔️
For more content like this!

Cheers! 🥂

[Compounding Quality @QCompounding]

Financial Statements MEGA Chat Sheet

I'll teach you everything you need to know in this thread and share the Cheat Sheet with you in high resolution:

[Compounding Quality @QCompounding]

MIT offers amazing free courses:

- Python
- Machine Learning
- Deep Learning
- Probability & Statistics
- Linear Algebra

Grab them for free here:

[Santiago @svpino]

Big step forward for root cause analysis in real-world applications!

There’s a new method that will help identify the causes of a problem or event. It uses causal discovery, boosting trees together with TDA.

This is crucial to enable root cause analysis in tasks like the following:

• Fraud detection
• Drug discovery
• Customer behavior analysis
• Energy and sustainability
• Financial analysis and risk management
• Failure analysis in engineering systems

Topological data analysis (TDA), on the other hand, studies the topological properties of data sets. You can use TDA for clustering, classification, and anomaly detection.

The team @datarefiner developed a new approach to integrating causal discovery with TDA segmentation, and they are getting the best results from anything in the market right now. For the first time, there's a tool where users can choose clusters and get a focused causal dependency graph.

They use boosting trees to estimate causal effects in complex systems. They complement this approach with TDA by offering insights into potential causal pathways. With TDA, users can visualize and understand the relationship between variables.

Most open-source systems struggle with categorical parameters or values with different scales. This new approach doesn’t have those problems.

Look at the attached video to understand what you can do with this.

Here is a link to a post with all of the details. It contains three detailed examples that will drive the idea home:

https://t.co/cPH4h5bc29

Thanks to @datarefiner for sponsoring this post.

[Tom Mitchell @tommitchelldata]

Anyone with an Internet connection can learn Data Analysis for free:

Excel - Microsoft Training Videos
https://t.co/PPcI4atZwV

SQL - Mode
https://t.co/cWkJX7Zx2G

PowerBI - Udemy Course
https://t.co/Fpj5s0ipV5

Python - Google Classes
https://t.co/BgIRYkp7Jc

No more excuses.

[Abacus.AI @abacusai]

A free Machine Learning course from Standford taught by Andrew Ng.

You'll learn:

• Linear/Logistic regression
• Decision Trees
• KNN
• Support Vector Machines
• Neural Networks
• Naive Bayes
• Gradient Descent

And much more.

Link: https://t.co/G64MnKYftu

[Ezekiel @ezekiel_aleke]

If you want to learn these for FREE:

SQL
Microsoft Excel
Data Visualization
Data Analysis
Business Analysis
Resume Tips
Project Management
Interview Tips

Check this Google drive link: https://t.co/4zBuvcC54i

Don't forget to retweet.

cc: @OlamideTowobola

[Nicolas Boucher @BoucherNicolas]

Top 50 Cheat Sheets

Save 1,000s of hours

The best Cheat Sheets in:
-ChatGPT
-Excel
-Finance
-Crypto

See below the links to all 50 Cheat Sheets.

But first, do you know why you have seen all these Cheat Sheets lately?

I will tell you a story that not many people know:

2 months ago I created the Finance Cheat Sheet.

It was a viral success: 25 millions views and +150k engagements.

But the most important:

It created a wave of creativity among creators.

This was the start of the
"Cheat Sheet" tsunami!

To thank all these creators
I am sharing the top 50 Cheat Sheet

👍 Retweet to support all of us 👍

1. Finance Cheat Sheet https://t.co/lgQwUF8TWU

2. Top 50 KPIs Cheat Sheet https://t.co/DUK7LvL2ZQ

3. Finance Career https://t.co/z0L4d7udib

4. Accounting https://t.co/nNL7vyvrNV

5. Financial Statements https://t.co/D3p36nujjp

6. Financial Reporting https://t.co/QalYX5Vlo3

7. Cash Flow https://t.co/OUOmhdj790

8. SaaS https://t.co/N1lliaQB7D

9. EBITDA https://t.co/utElB4VCqa

10. Valuation https://t.co/NxkvA31dnl

11. Corporate Finance https://t.co/LSBDFbkvMN

12. FP&A https://t.co/li2arpzYWm

13. Financial Models https://t.co/wt1xHjpNrr

14. DCF https://t.co/FX3SgGYW1A

15. ARR https://t.co/tI5g6EI7Pu

16. Financial Forecasting https://t.co/2gwrX1hgQq

17. P&L https://t.co/xk8c10HvuB

18. Management Cheat Sheet https://t.co/QccQWOUcVO

19. M&A https://t.co/sqdV5Kdou3

20. Transfer pricing https://t.co/DO67YPyn3D

21. 300 KPIs https://t.co/pZbZwLee0B

22. Balance Sheet https://t.co/Nh6dWsdgZp

23. Working Capital https://t.co/hHajPeICxp

23. Financial Ratios https://t.co/9kmxTKF1Vv

24. EBIT https://t.co/kugjVJCny3

25. EBITDA 2.0  https://t.co/NUnumxWFAF

(26-50 : check next Tweet in the thread)

👉 Which one is your favorite?

[Anders Liu-Lindberg @LiuLindberg]

Learn Financial Modeling 101 for free.

Save 1,000s of dollars.

Let's dig into the curriculum.

4 Modules and 21 Lessons 🧵.

[Holger Zschaepitz @Schuldensuehner]

For the first time ever yield on cash, bonds, & equities is the same. The yield on 3mth US Treasury bills was 5.3% this week after Fed held interest rates at between 5-5.25%. That is the same level as the expected 12mth forward earnings yield across the S&P 500, which has risen by >15% since Jan. https://t.co/S8oNJrBwSN (HT @knowledge_vital)

[Swapna Kumar Panda @swapnakpanda]

If I were to start Data Science in 2023,

- Harvard
- Stanford
- MIT
- Microsoft
- Google
- IBM

❯ Python
https://t.co/k736uzifHP

❯ SQL
https://t.co/0McNhq41HU

❯ Excel, PowerBI
https://t.co/x685i8d8pa

❯ R
https://t.co/w1KvTXZfYy

❯ Mathematics
https://t.co/WanP7fdDB0

❯ Statistics
https://t.co/Z328Xdjs2O

❯ Tableau
tableau. com/learn/training

❯ Data Analysis
https://t.co/m0PqmBc838

❯ Data Visualization
https://t.co/DkknCBQUMv

❯ Machine Learning
https://t.co/5Qa2PdX674

❯ Deep Learning
https://t.co/uexo9Vhvi0

[Andrew Lokenauth @FluentInFinance]

I've been hired by JP Morgan, Goldman Sachs, Citi and received many other job offers, because I was prepared for the job interview, not because I was the "smartest"

Here are 10 commonly asked interview questions, and how to prepare for each, so you stand out and get an offer:

[Rowan Cheung @rowancheung]

The average person has never even used ChatGPT yet.

But I've learned advanced techniques since day 1 of the ChatGPT release.

I'm twice as efficient as I've ever been.

Here are the top 7 prompt techniques that I use every day:

[Nick Gerli @nickgerli1]

When the Money Supply Contracts📉, banks start collapsing.❌

This trend is very predictable. Each time the money supply has contracted in last 150 years, we've had a banking crisis.

M2 Money is down -2% YoY. First time in 100 years. Take note.

[Balaji @balajis]

The Fed caused the banking crisis. Surprise rate hikes devastated the balance sheets of hundreds of banks — not just SVB.

Because all of them followed the same guidance, and bought the same assets, from the same vendor, who devalued them in the same way, at the same time.

Their mistake? They thought buying long-dated Treasuries and similar bonds from the US government was the safest bet you could make.

It turned out to be the riskiest. https://t.co/A92sdOGjL1

[Freedom35 @CryptoUros]

Wtf!?? Why didn't we learn this in school?
Save this card from 1875 and watch it closely
#btc #Crypto #SP500 #StockMarket #stockmarketcrash

[Shweta Kukreja @ShwetaKukreja_]

It took me 4 months to finish reading Bhagawad Gita but you can learn all of it in 2 mins.

Here are the chapter-wise takeaways:

[Greg Price @greg_price11]

Reminder: Donald Trump fought to stop Russia from building the Nord Stream 2 pipeline. Joe Biden gave Putin the green light. Putin gained control over Europe’s energy market and less than a year later is invading Ukraine.