#PythonForML

4️⃣ Understanding Data in Pandas data.describe: Get stats for numerical columns in your dataset (e.g. min, max). Pro Tip: Adding a value inside parentheses for functions like .head() lets you set how many rows to display. Try it out! 🙌 #MachineLearning #Pandas

That’s a wrap for Day 15! 🚀 Onwards to mastering more Pandas tools 🐼 as part of the 20 Days of Pandas Challenge. Tomorrow, we’ll dive into fetching rows and columns using iloc. See you then! #PythonForML #MLJourney #Pandas

Let's begin our adventure into the realm of 🐍Python for Machine Learning! 🚀, where possibilities are limitless! 🌐 #PythonForML #Day1 📚 topic revised: ✅ Loops & Functions ✅Map, Filter, Reduce ✅Lambda Fun ✅List & Dictionary Comprehension ✅Generator Function

#Day3 Learned about working with files, Reading, writing and other methods. ✅Exception Handling done. . #pythonforml #python

Day 4 of #PythonForML 🚀: Explored Multithreading, Multiprocessing, and dabbled with Python-MongoDB integration. 🚀 Exciting progress! 💡 🐍 #ML #Python #MongoDB

Ready? #Back2Basics #pythonforML

Get ready! 👊 To switch things up with #Back2Basics Python for ML series Coming soon to @gdg_nairobi!

Elevator or Escalator?

@AjmichL @potam1304 You combined both

@_KOSIpressure @potam1304 Yes o... For best result... It's called stacking 😂😂 #LifeOfAProgrammer #PythonForML #DataScienceNigeria

"Why is Python Used for Machine Learning?" #machinelearningpython #pythonforml

"Why is Python Used for Machine Learning?" #machinelearningpython #pythonforml

"Why is Python Used for Machine Learning?" #machinelearningpython #pythonforml