Alejandro Rehor

There are more things in heaven and earth, Horatio, than are dreamt of in your philosophy 🕊🇺🇦

[Alejandro Rehor @ARehor]

@JonatanVialeXD Si

[Alejandro Rehor @ARehor]

@GP_Presss Fake. Never ever you’ll see a carrier alone!

[Alejandro Rehor @ARehor]

@ElTrumpista SOS medio pelotudo !

[Sakshi @Ashafind]

Dear Data Analyst/Scientist.

Read these books and you'll be miles ahead in your Data journey.

To get it:

1. Follow me (so I can DM you)
2. Like and retweet
3. Reply with "Data"

[Interesting AF @interesting_aIl]

This is what the night sky on Mars looks like (Source: NASA)

[Poonam Soni @CodeByPoonam]

Google just changed note taking forever.

NotebookLM got massive upgrades.

5 Powerful features you can't afford to miss:

[Alejandro Rehor @ARehor]

@marcos_galperin Mejor ayúdalo a cambiar de escudería !

[Paweł Huryn @PawelHuryn]

The Ultimate AI PM Learning Roadmap

An extended edition with dozens of resources: definitions, courses, guides, reports, tools, and step-by-step tutorials 🧵

[Bojan Radojicic @BojanRadojici10]

📊 10 Calculations in one Excel!

Here’s what’s inside:

🔹 CAGR
🔹 Break-even Point
🔹 YoY Growth
🔹 Discounting
🔹 Net Present Value (NPV)
🔹 Cash Flow from Operating Activities
🔹 Free Cash Flow
🔹 Economic Value Added (EVA)
🔹 Discounting Factor
🔹 Internal Rate of Return (IRR)

All these calculations in one Excel file to boost your financial modeling skills! 🚀

Drop a comment and I will send you the Excel! (follow me so I can DM you).

[Miltonn🧉 | F1 🏎️ @miltonn_so]

El auto de Gasly:

El auto de Colapinto:
#F1

[Joaconel. @Joaconel]

El Alpine de Colapinto

[Alejandro Rehor @ARehor]

@CerraLaBocaSeba 😂😂😂😂😂

[Mercado Libre Argentina @ML_Argentina]

Vuelve Franco y volvimos todos. Lo mejor siempre está llegando.
Orgullosos de acompañar a @FranColapinto y @alpinef1team 💪🇦🇷💛

[Alejandro Rehor @ARehor]

@EnsedeCiencia Le doy ese y dos más con un 5% de descuento total.

[Joachim Schork @JoachimSchork]

Visualizing complex data can be challenging, but Principal Component Analysis (PCA) offers a powerful solution. By reducing the dimensionality of data sets, PCA not only simplifies the data but also uncovers hidden patterns that can be missed in the maze of high-dimensional data. Let's explore how PCA transforms data visualization:

From Complexity to Clarity 🔄

- What It Does: PCA reduces data to two or three principal components, making it possible to visualize complex data sets on a 2D or 3D plot.
- Why It's Helpful: It allows us to see the big picture, revealing relationships, clusters, and variances in data that were not apparent before.

Highlighting the Essentials 🔦

- How It Works: By focusing on components that account for most of the variance, PCA ensures that the most informative features of the data are highlighted in the visualization.
- Benefits: This makes it easier to identify patterns, trends, and outliers, providing clear insights into the data's structure.

Enhanced Decision Making 🎯

- Impact: Visualizations simplified through PCA provide a more intuitive understanding of the data, supporting better, data-driven decision-making.
- Applications: From market research to genomic studies, PCA-enhanced visualizations are invaluable in countless fields.

Embrace the power of PCA for your next data visualization project and turn complex data sets into insightful, easy-to-understand visuals.

Want to master PCA and elevate your data visualization skills using the R programming language? I've crafted an extensive course exploring both the theoretical aspects of PCA and its practical use in R programming.

More details are available at this link: https://t.co/DUfoAHuxxD

#RStats #statisticians #R4DS #Data #DataScience #datastructure

[Always Keep Learning @AlwaysKeepL]

How to set Goals

[Virginio Gallardo @virginiog]

Sobre como hacer mejores prompts

[Swapna Kumar Panda @swapnakpanda]

When it comes to AI & ML,

These 10 channels will teach you more than any degrees.

[Alejandro Rehor @ARehor]

@YourCFOGuy Send