Cyber Maruf

  from tkinter import * from tkinter.ttk import * from time import strftime root=Tk() root.resizable( 0 , 0 ) root.geometry( "950x200" ) root[ "bg" ] = "black" root.title( "Clock" ) def time (): st=strftime( "%I:%M:%S %p" ) label.config( text =st) label.after( 1000 , time) label=Label(root , font =( "ds-digital" , 150 ) , background = "black" , foreground = "red" ) label.pack( anchor = "center" ) time() mainloop()

  pip install pyqt5 pip install pyqt5-tools C:\Users\Munna\AppData\Local\Programs\Python\Python38\Lib\site-packages\qt5_applications\Qt\bin\designer.exe convert: pyuic5 -x untitled.ui -o calc.py

  1.https://www.freepik.com/ 2.https://undraw.co/ 3.https://icons8.com/icons 3.https://www.flaticon.com/ 4.https://unsplash.com/

  A Tour of Machine Learning Algorithms by   Jason Brownlee   on   August 12, 2019   in   Machine Learning Algorithms Tweet     Share   Share Last Updated on August 14, 2020 In this post, we will take a tour of  the most popular machine learning algorithms . It is useful to tour the main algorithms in the field to get a feeling of what methods are available. There are so many algorithms that it can feel overwhelming when algorithm names are thrown around and you are expected to just know what they are and where they fit. I want to give you two ways to think about and categorize the algorithms you may come across in the field. The first is a grouping of algorithms by their  learning style . The second is a grouping of algorithms by their  similarity  in form or function (like grouping similar animals together). Both approaches are useful, but we will focus in on the grouping of algorithms by similarity and go on a tour...