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Welcome to BlackEye001 . We respect your privacy and are committed to protecting any personal information you may provide while using this website. Information We Collect We may collect basic information such as name or email if you submit it through forms or contact pages. We may use cookies to improve user experience and analyze site traffic. How We Use Information To improve our content and provide a better learning experience for visitors. To respond to messages or queries submitted through our contact form. To analyze website visitors to understand what content is useful. Google AdSense & Cookies We use third-party advertising services such as Google AdSense, which may use cookies to serve ads based on your browsing behavior. Google may use the DoubleClick DART cookie to show interest-based advertisements. You can disable this anytime by visiting Google Ads Settings. External Links Our blog may contain links to external websites. We are not responsible for content or privacy p...

Python Programming – Class XII State Syllabus Guide

XII Class  Part 1: Exception Handling Program 1: Syntax Error vs Exception # Syntax Error Example (won't run) # print("Hello # Exception Example (will run but gives error) a = 5 b = 0 try : print (a / b) except ZeroDivisionError : print ( "You cannot divide by zero!" ) Program 2: Try-Except-Else-Finally try : num = int ( input ( "Enter a number: " )) print ( 100 / num ) except ValueError : print ( "That's not a number!" ) except ZeroDivisionError : print ( "Zero is not allowed!" ) else : print ( "Division successful!" ) finally : print ( "End of program." ) Program 3: Raising Exceptions def check_age ( age ): if age < 18 : raise ValueError ( "You must be 18 or older!" ) return True try : check_age ( 15 ) except ValueError as e : print ( "Exception:" , e ) Program 4: User-Defined Exception class UnderAgeError ( Excep...

Machine Learning Lab

1. Install and set up Python and essential libraries like NumPy and pandas. Install NumPy and pandas : Open a command prompt (Windows) or terminal (macOS / Linux). To install NumPy, type : pip install numpy To install pandas , type : pip install pandas Press Enter and wait for the installation to complete. Verify installation : After installation , you can verify if NumPy and pandas are installed correctly by opening a Python interpreter. Type python in your command prompt or terminal to open the Python interpreter. Once inside the Python interpreter, try importing NumPy and pandas: python import numpy import pandas If there are no errors, the libraries are successfully installed. 2.Introduce scikit-learn as a machine learning library Here 's an introduction to some key aspects of scikit-learn: 1. Versatility : scikit - learn offers a wide range of machine learning algorithms and tools that are suitable for various tasks such as classification,regression, clus...