Kya Harry Potter Horcruxon ko KNN ke madhyam se Dhundh Payega?

Ek samay ki baat hai, jaadui Hogwarts ke samraaj mein, ek chhote se jadugar Harry Potter ne ek himmat bhari yatra prarambh ki, kaale jadugar Lord Voldemort ko parajit karne ki. Harry ko yeh nahin pata tha ki uski yatra use machine learning aur data science ke rahasyon se ghira hua raasta dikhayegi.

Jaise hi Harry jaadu ki duniya ke andar pravesh kiya, usne Horcruxon ke astitva ka pata lagaya — vastuen jo Voldemort ke aatma ke tukde rakhti thi, use amar banati. Harry ne duniya ko Voldemort ke buraai se mukti dilane ka nischay kiya tha, isliye usko in andherey vastuon ko dhoondhkar nasht karna tha.

Par Harry, jiske paas uska asli saathi hai uska bahadur dil aur jadui stick, kaise chhipi hui Horcruxon ko dhoondh sakta tha? Tab Hermione, hamesha chatur jadugarni, ek jaadui upkaran ka sujhav diya — Muggle duniya ka K-nearest neighbors (KNN) algorithm.

Hermione ke margdarshan se, Harry ne apne yatra par KNN ke siddhanton ka upyog kiya. KNN algorithm karya ko prakriti ki tarah ganit karta hai, data points ko unke aas-paas ke points ke saath tulna karke unhe shreni mein rakhta hai. Harry ke case mein, pratyek Horcrux ko ek data point ke roop mein prastut kiya ja sakta tha, jismein uski sthiti, jadui gun aur itihaasik mahatva shaamil tha.

Harry ne pehle pracheen granthon, jadugaron ke sangrahalyon aur un logon ke smritiyon se jaankaari ikattha ki, jo unko mil chuki thi. Usne har ek Horcrux ke baare mein jaankaari ka ek data set banaya, jismein uski visheshtaon aur uske utpatti ke paristhitiyan shaamil thi.

Apne data set ke saath, Harry ne KNN algorithm ka upyog kiya, jaaniye Horcruxon aur unke ho sakte hai unke chhipe sthanon ke beech ke samanataon ko vishleshit karne ke liye. Har ek Horcrux ki visheshtaon ka anusandhan karke aur unhe doosri jaadui vastuon ke saath tulit karke, Harry ne prakaar ko pahchana aur adhik Horcruxon ke hone ki sambhavna ko maana.

Jaise hi Harry jaadui duniya mein vyapak yatra kiya, usne vibhinn challenges aur badhaon ka saamna kiya, har ek mein apni pristhiti ko adapkarne aur apne model ko punah srijan karne ki zaroorat thi. Har nayi khoj ke saath, Harry ne Voldemort ke vichit dimaag aur uski aatma ko dhoka dena wale kaale jaadu ke baare mein samajh paaya.

Sahanubhuti aur machine learning ke shakti ke saath, Harry ne dhire dhire chhipi hui Horcruxon ko dhoondh liya, ek ke baad ek. Salazar Slytherin ka locket se lekar Rowena Ravenclaw ki diadem tak, har Horcrux ne use uske antim lakshya ke paas le aaya — Voldemort ki aatma ka nasht aur andhera ka parajay.

Ant mein, apni yatra se prapt gyaan aur doston ka saath paakar, Harry ne Voldemort ke saamne antim sangharsh kiya. Apne gyaan, bahaduri aur machine learning ke dauraan sikhe hue sabak ke saath, Harry vijayi hua, kaale rajkumar ko parajit karke jadui duniya ko ek baar phir shanti aur sukh laaya.

Aur is prakaar, Harry Potter aur Horcruxon ki talash ki kahani ka ant ho gaya, jismein jaadu, dosti aur un seemit sambhavnaon ki gawahi di gayi jo sthiti aur takneeki ki duniya ki seema mein anshiktaanuroopata se ubhar aati hai.

🧙‍♂️🧙‍♀️ Harry aur Hermione ke Bich ki Baatcheet

Harry: Hermione, main soch raha tha. Humein un ziddi Horcruxon ko kaise dhoondhna hoga jo Voldemort ke hain. Par kaise unhe dhundhenge itne saare jaadu aur rahasyon mein?

Hermione: Dekho, Harry, humein ek aisa jaadu chahiye jo humein bata sake ki kaunse vastu Horcrux hain aur kaunse nahi. Aur isiliye, maine socha hum machine learning ka upyog kar sakte hain.

Harry: Machine learning? Ye kya hota hai, Hermione?

Hermione: Machine learning ek tarah ka jaadu hai jisme hum computers ko data se sikhaate hain aur us data ke adhaar par anumaan lagaate hain.

Harry: Acha, par hum isse kaise Horcruxon ko dhoondhenge?

Hermione: Dekho, Harry, hum K-nearest neighbors (KNN) algorithm ka istemal kar sakte hain. Ye ek aisa jaadu hai jo vastuon ko unke gunon ke aadhaar par pehchaan sakta hai.

📊 Data ki Jaanch

Hermione: Pehle, hume pracheen lekhon aur jaadu sangrahalayon se jaankaari ikattha karni hogi. Yahan, chalo hamara data set load karte hain aur uske vistaar ko dekhte hain.

import pandas as pd

dataset = pd.read_csv(“Social_Network_Ads.csv”)
dataset.info()
dataset.columns
dataset.head()

Hermione: Ye code snippet humare data ko load karta hai aur uska banavat dikhata hai. Har ek row ek jaadui vastu ko prastut karta hai, aur columns uski visheshtaon ko varnan karte hain.

🔍 Data ki Vishleshan

Harry: Samajh gaya, Hermione. Par is sab jaankaari ko hum kaise samajhenge?

Hermione: Chinta mat karo, Harry. Hum is jaankaari ko seaborn jaise jaadui upkaran ka istemal karke darshayenge. Ye humein vastuon ke gunon aur unke bich ke rishton ko dekhne ki shamta deta hai.

import seaborn as sns
sns.set()
sns.scatterplot(x=”Age”,y=”EstimatedSalary”,data=dataset,hue=”Purchased”)

Hermione: Dekho, Harry! Ye scatter plot humein dikhata hai ki jadugaron ki umar aur anumaanit vetan kis tarah se unke Horcrux kharidne ki sambhavna se judte hain.

🧠 KNN Algorithm ki Vyakhya

Hermione: Ab, Harry, main tumhe KNN algorithm ke baare mein bataati hoon. KNN ek aisa algorithm hai jo vastuon ko unke aas-paas ke vastuon ke saath tulna karta hai aur unhe unke sabse kareebi padosi ke aadhaar par shreni mein rakhta hai.

Harry: Toh, iska matlab ye hai ki hum isse Horcruxon ko dhoondhne ke liye istemal kar sakte hain?

Hermione: Bilkul, Harry! Is algorithm ko istemal karke hum Horcruxon ki prakriti ko samajh sakte hain aur unhe doosre vastuon se tulit kar sakte hain, taki humein unhe pehchaan sakein.

X= dataset[[“Age”,”EstimatedSalary”]]
y= dataset[“Purchased”]
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)
from sklearn.neighbors import KNeighborsClassifier
model= KNeighborsClassifier(n_neighbors=5)
model.fit(X_train,y_train)

Hermione: Model ko data mein pattern dhoondhne ki shiksha dekar, hum usse samajh sakte hain ki ek vastu ek Horcrux hai ya nahi.

🔮 Bhavishyavaniyon ka Naqsha

Harry: Yeh toh bahut achha hai, Hermione! Par kya ye bhavishyavaniyan sahi hongi?

Hermione: Chalo, hum apne model ko parikshan ke liye istemal karte hain. Hum iska upyog karenge vastuon ko Horcrux hone ki bhavishyavani karne ke liye aur uski bhavishyavani ko vaastavik parinamon se tulna karenge.

model.predict([[20,20000]])
y_pred= model.predict(X_test)

Hermione: Har bhavishyavani ke saath, humara model jaadui duniya ke chhupi hui sachaiyon mein unmad milta hai.

📊 Performance ka Mulyankan

Harry: Yeh toh akalmandi hai, Hermione! Par kaise pata chalega ki hamara model vishwasniya hai?

Hermione: Hum iski pradarshani ko dekh kar uski satarkta ka moolyaankan karte hain jaise ki confusion matrices aur accuracy scores.

from sklearn.metrics import confusion_matrix
confusion_matrix(y_test,y_pred)
from sklearn.metrics import accuracy_score
accuracy_score(y_test,y_pred)

Hermione: Ye metrics humein batate hain ki hamara model Horcruxon aur aam vastuon ke beech mein antar ko pehchanna kitna safal hai.

📉 Model ko Sudhaarne ki Koshish

Harry: Hermione, yeh toh sachmuch adbhut hai! Par kaise hum isko sambhav sabse shaktishaali bana sakte hain?

Hermione: Hum alag alag vinyashein par parikshan karke, jaise ki padosiyon ki sankhya, model ko shudh karne ke liye parametron mein badlav karte hain, tak ki anukoolan taksamein mil sakein.

error_rate=[]
for i in range(1,50):
model= KNeighborsClassifier(n_neighbors=i)
model.fit(X_train,y_train)
y_pred= model.predict(X_test)
error_rate.append(accuracy_score(y_test,y_pred))

Hermione: Apne model ko sudhaar karne ke madhyam se, hum uske sahaj upayog aur chipi hue shamtaon ko kholete hain.

📈 Pradarshan ki Kalpana

Harry: Hermione, main machine learning ke shakti ko samajhne laga hoon! Par kaise hum in parinamon ko vyakhya karenge?

Hermione: Hum bhoolne walon ke beech mein bhoolon ka pehchaanne ke liye moolyaankan karne par aadharit parinamon ki kalpana karte hain tak hum samajh sakein ki prati parametron ka kis prakar asar hota hai model ke pradarshan par.

import matplotlib.pyplot as plt
plt.plot(range(1,50),error_rate)
plt.xlabel(“k”)
plt.ylabel(“error”)

Hermione: Yeh chitro mein humein dikhata hai padosiyon ki sankhya aur hamari bhavishyavaniyon ki satyata ke beech ka sambandh.

Harry: Hermione, tumne meri aankhon ko ek naye jaadui duniya ki or khol diya! KNN algorithm se, hum Horcruxon ke rahasyon ko samajh sakte hain aur Voldemort ko ek baar fir se hara sakte hain.

Hermione: Haan, Harry! Machine learning ki shakti se, hum data ke jaadu ko istemal kar Voldemort ke andhere ko mita sakte hain aur jadui duniya ko punah roshni mein la sakte hain.

Aur is tarah, Harry aur Hermione apni yatra par nikal pade machine learning ke gyaan se sajja, taiyaar hokar samna karne ke liye jo bhi aage aata, unke Horcruxon ki talash mein.