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gerry leo nugroho
gerry leo nugroho

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Gemika’s Enchanted Guide to Iris Dataset with Magic and Machine Learning 🌟🧙‍♂️ (Part #12)

Greetings one last time, my brilliant young spellcasters!

I’m Professor Gerry Leo Nugroho, your guide through the enchanted realms of data science at Hogwarts, and a dear friend of Albus Dumbledore. Last time, we stepped into the Room of Requirement for a grand finale, predicting new Iris Dataset flowers with our KNN, Decision Tree, and Random Forest spells—guesses as sharp as a phoenix’s beak! 🌸

Now, my little Gryffindor dreamer, Gemika Haziq Nugroho, and I are sitting by the fire in the Gryffindor common room, reflecting on our adventure. Our tale’s not ending—it’s just beginning! ✨🔥


Chapter 12: Epilogue - Gemika’s Magical Journey Continues 🏰📖

Picture us cozied up, the Fat Lady’s portrait humming softly, as Gemika clutches his toy wand. “Dad,” he whispers, “we turned numbers into magic!”

And he’s right—we’ve journeyed from meeting the Iris scroll with pandas to brewing dazzling charts in Snape’s dungeon, from taming data dragons with Hagrid to casting spells with Flitwick, McGonagall, and Dumbledore’s wisdom. 🌺

Each step was a spell—EDA, preprocessing, splitting, predicting—building a bridge between Hogwarts’ magic and the wonders of data science!

Now, I see the spark in Gemika’s eyes, and I know: this is just the start for young wizards like you to explore more enchanted adventures! 🌟🪄


12.1 The Code & Algorithm: A Recap and a Wand Wave Forward

Let’s flip through our spellbook one last time—here’s what we mastered:

  • Pandas summoned our Iris scroll, like an owl with a letter.
  • Seaborn and Plotly brewed moving charts, brighter than a Weasley prank.
  • Train_test_split divided our data, like picking Triwizard champions.
  • KNN, Decision Trees, and Random Forests predicted flower types—charms, branches, and forests of guesses!
  • Accuracy and confusion matrices graded our magic, as precise as McGonagall’s quill.

What’s next? Try new datasets—like Hogwarts student scores or Quidditch stats! Cast spells like Support Vector Machines or Neural Networks—they’re like advanced charms waiting in the Restricted Section. The magic’s endless, young wizards—keep waving your wands! 📊🪄


12.2 Hogwarts Application: Gemika’s Next Project

Imagine Gemika bouncing up to Dumbledore, chirping, “Headmaster, I want to predict who’ll win the House Cup!”

With data wizardry, we’d gather traits—spell grades, broom skills, mischief points—and train our models.

  • KNN might guess Gryffindor’s nearest rivals.
  • Trees could branch through Slytherin’s cunning.
  • Forests would vote with Ravenclaw’s wisdom.

It’d be Gemika’s masterpiece—planning his next Hogwarts project with numbers as his wand and data as his spellbook! 🏆🧙‍♂️✨


12.3 Gemika’s Quiz Time! 🧑‍🚀

My little Gemika, sprawled on a crimson rug, beams up at me. “Dad,” he says, “what’s the next magical adventure we can try?”

I laugh—he’s a whirlwind of wonder! Pick your answer, young explorers:

  • A) Predicting Quidditch winners with a new dataset—like catching the Snitch!
  • B) Turning into dragons with a Polyjuice Potion spell.
  • C) Asking Fawkes to pick our next flower type.

Scribble your guess or shout it louder than a Gryffindor cheer—Gemika’s grinning for your ideas! 🗣️📝✨

(Hint: Think data, not feathers!)


12.3 Next Chapter: A New Book Opens

Our tale pauses here, but the magic doesn’t stop! Imagine a new book—Gemika’s Quidditch Quest or The Potion Predictor—where we’ll chase fresh mysteries with data spells.

It’ll be a journey so grand, even Hagrid’s hippogriffs will want a ride! Keep your wands ready, for the next adventure is just a page away—happy exploring, my young wizards! 🌍🪄✨

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