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Kutubxonalar: spaCy, NLTK, TextBlob
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| bet | 25/182 | | Sana | 19.05.2024 | | Hajmi | 5,69 Mb. | | #244351 |
Bog'liq Python sun\'iy intellekt texnologiyasi Dasrlik 2024Kutubxonalar: spaCy, NLTK, TextBlob.
import nltk
from nltk.sentiment import SentimentIntensityAnalyzer
def analyze_sentiment(text):
sia = SentimentIntensityAnalyzer()
sentiment_score = sia.polarity_scores(text)['compound']
if sentiment_score >= 0.05:
return "Positive"
elif sentiment_score <= -0.05:
return "Negative"
else:
return "Neutral"
text = " Men ilovalarimda mashinali o‘qitishni yaxshi ko‘raman!"
sentiment = analyze_sentiment(text)
print("Sentiment:", sentiment)
Tasvirni qayta ishlash:
Amaliy misol: tasvirlardagi ob’ektlarni tanib olish yoki muayyan muammolarni hal qilish uchun tasvirlarni tahlil qilish (masalan, tibbiy diagnostika).
Kutubxonalar: OpenCV, TensorFlow, Pwtorch.
import cv2
def detect_objects(image_path):
image = cv2.imread(image_path)
gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Ob’ektni aniqlash algoritmini qo‘llash
# ...
image_path = "path/to/your/image.jpg"
detect_objects(image_path)
Tasniflash va bashorat qilish:
Amaliy misol: foydalanuvchi xatti-harakatlarini bashorat qilish yoki kelajakdagi voqealarni bashorat qilish uchun modelni ishlab chiqish.
Kutubxonalar: scikit-learn, TensorFlow, Pwtorch.
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score
# O‘qitish uchun ma’lumotlarni tayyorlash
# ...
# Modelni o‘qitish
# ...
# Bashorat qilish# ...
# Modelning aniqligini baholash
# ...
Tavsiya tizimlari:
Ilova misoli: foydalanuvchilar uchun ularning afzalliklari asosida shaxsiylashtirilgan tavsiyalarni ishlab chiqish.
Kutubxonalar: Surprise, scikit-learn, TensorFlow.
from surprise import Dataset, Reader
from surprise.model_selection import train_test_split
from surprise import SVD
from surprise import accuracy
# Tavsiya tizimi uchun ma’lumotlarni yuklash
# ...
# Model yaratish
# ...
# Modelni o‘qitish
# ...
# Bashorat qilishе
# ...
# Modelning aniqligini baholash
# ...
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