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arabic-chapter

arslanali4343

dask-vs-pandas-on-reading-the-big-dataset

data-engineering-projects

data-science-learning-path

Data Science Learning Path - A complete guide to learn data science for beginners

data-science-study-materials

"Big data is at the foundation of all the megatrends that are happening." – Chris Lynch

eth-cs-notes

Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich

heart-disease-prediction-with-neural-network

house-price-prediction

learn_python

Introduction in Python Language , Oops Concepts , Common Libraries And Basic Programs

master-datascience-notes

MSc. Data Science and Economics Notes and projects

ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

ml-notes-in-markdown

Machine learning notes that make your reading easy

mobile-price

Mobile price prediction using ML, and deploy model with Flask

personal-portfolio

python_reference

Useful functions, tutorials, and other Python-related things

recognize-human-facial-keypoints-convolutional-neural-networks-

subjective-exam-chacking-

The fundamental tasks of our project are: Classify the questions based on the labels into various categories Relevant question-answer retrieval using semantic similarity

the_complete_python_course_zero_to_advance

Accelerated Intelligence

truth-about-ai-and-chatgpt

web-scraping-bacics-with-python

Beautiful Soup is packed with useful functionality to parse HTML data. It’s a trusted and helpful companion for your web scraping adventures. Its documentation is comprehensive and relatively user-friendly to get started with. You’ll find that Beautiful Soup will cater to most of your parsing needs, from navigating to advanced searching through the results. In this tutorial, you’ve learned how to scrape data from the Web using Python, requests, and Beautiful Soup. You built a script that fetches job postings from the Internet and went through the full web scraping process from start to finish. You learned how to: Inspect the HTML structure of your target site with your browser’s developer tools Gain insight into how to decipher the data encoded in URLs Download the page’s HTML content using Python’s requests library Parse the downloaded HTML with Beautiful Soup to extract relevant information.