LOL

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aenean laoreet sagittis scelerisque. Phasellus viverra aliquet ornare. Sed in est neque.

[Science girl @sciencegirl]

Frightening visuals from Japan as it begins new year suffering a massive 7.6 magnitude earthquake.

[as you wish 🦋 @martabakismissu]

CERITA LUCU NETIJEN

Sampe cekikikan sendiri bikin thread ini 😭

[Massimo @Rainmaker1973]

Effect of the earthquake that hit Central Japan today: roads cracking and pavements rising.

[📹 mmmin726]

[tldraw @tldraw]

(can't believe this works)

[LOL @TedySuwega]

@harippe

[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

[Akshay 🚀 @akshay_pachaar]

SQL Joins in Pandas!

🐼Pandas offers robust functionalities to perform SQL-like joins with its merge() function.

Let's explore the four primary types of SQL joins — Inner Join, Left Join, Right Join, and Outer Join.

1️⃣ Inner Join:

An Inner Join returns only the rows where there is a match in both the left and the right DataFrame.

Syntax⬇️

pd.merge(df_left, df_right, on='key', how='inner')

Here'a a visual representation of the Inner join👇

2️⃣ Left Join:

A Left Join returns all records from the left DataFrame (`df_left` in our case) and the matched records from the right DataFrame (`df_right`).

If there is no match, the result is NaN.

Syntax⬇️

pd.merge(df_left, df_right, on='key', how='left')

Here'a a visual representation of the Left join👇

3️⃣ Right Join:

A Right Join returns all records from the right DataFrame (`df_right`) and the matched records from the left DataFrame (`df_left`).

If there isn't a match, the result is NaN.

Syntax⬇️

pd.merge(df_left, df_right, on='key', how='right')

Here'a a visual representation of the Right join👇

4️⃣ Outer Join

An Outer Join (or Full Outer Join) returns all records when there is a match in one of the left or right DataFrame.

Rows from the left DataFrame that have no match in the right DataFrame will have NaN for the right DataFrame's columns and vice versa.

Syntax⬇️

pd.merge(df_left, df_right, on='key', how='outer')

Here'a a visual representation of the Outer join👇

That's all, if you’re interested in:

- Python 🐍
- ML/MLOps 🛠
- CV/NLP 🗣
- LLMs 🧠

Find me → @akshay_pachaar ✔️
Everyday, I share tutorials on above topics!

I also have a newsletter that you can find in the next tweet!

Make sure you like and retweet this to support my work!

Cheers!🥂

[Sumanth @Sumanth_077]

MIT university is offering FREE education in Data Science.

Courses cover:

- Python
- Data Science
- Machine Learning
- Statistics
- Linear Algebra &
- Deep Learning

Learn from the best at a free of cost!

Thread🧵👇

[LOL @TedySuwega]

@vickyroyibha hahah, rutinitas

[LOL @TedySuwega]

@vickyroyibha awkwkwk welcome

[LOL @TedySuwega]

@vickyroyibha as always lah

[MotoGP™🏁 @MotoGP]

📋 @polespargaro is "conscious, alert, and responding well", with further examinations underway

Full medical update here 👇

#PortugueseGP 🇵🇹 | 📰
https://t.co/n2CnmQB9mg

[MotoGP™🏁 @MotoGP]

Medical Info Update 📋

#MotoGP rider #44 @polespargaro has suffered a pulmonary contusion, jaw fracture and a fractured dorsal vertebra

#PortugueseGP 🇵🇹

[MotoGP™🏁 @MotoGP]

Good work from the @HRC_MotoGP duo! 📈

New signing @JoanMirOfficial breaks into the top 3! 👊

#PortugueseGP 🇵🇹

[MotoGP™🏁 @MotoGP]

A SUPER save signed by the reigning #MotoGP World Champ! 🔥 🏆 👀

@PeccoBagnaia ✍️

#PortugueseGP 🇵🇹

[MotoGP™🏁 @MotoGP]

IT'S RACE WEEK for the first time in 2023! 🤩

Are you ready for MORE #MotoGP than ever? 🔥

#PortugueseGP 🇵🇹

[Abacus.AI @abacusai]

FREE Computer Science Education:

"Computer Science Courses With Video Lectures"

Enjoy!

https://t.co/gnGtXsX9l0

[LOL @TedySuwega]

@vickyroyibha awkwkwk anjaaay pas pisan

[Programmer Humor @PR0GRAMMERHUM0R]

Binary tree. https://t.co/OiP4nRiem9