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by this education channel. #PythonVariables #PythonTutorials #Freelancing This is Artificial Intelligent series and right now we are in Python Tutorials for beginners. 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AND OR Testing Condition in python, it is Artificial Intelligence Series with Machine Learning Skills. IF Statement also used to make understand this concept. 1- How to Use And Conditions...","preview":{"posterSrc":"data:image/png;base64,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the architecture of Enterprise AI. In this deep dive, we explore how to leverage Groq’s LPU (Language Processing Unit) with LangChain to build scalable, low-latency AI solutions for SaaS...","preview":{"posterSrc":"data:image/png;base64,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this video I explain how to create a tic tac toe game in python using a simple AI. This is an intermediate level tutorial and is extremely useful in enhancing your skills with python and 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Python Programming for AI: A Comprehensive Guide to Getting Started Welcome to this complete Python Programming for Artificial Intelligence (AI)! ► Sign Language Detection Using YOLO 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how to create an AI-based image caption generator using Python! This tutorial demonstrates the use of machine learning models to generate descriptive captions for images 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In this video, I’m sharing a look into my latest personal project that I’ve been hacking away at during my free time: a custom-built AI Assistant. This is still very much a work 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Python Programming for AI: A Comprehensive Guide to Getting Started Welcome to this complete Python Programming for Artificial Intelligence (AI)! ► Sign Language Detection Using YOLO 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What is Arbitrary Parameter, Positional Arguments, Keyword Arguments? How 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is video is apart of my series on how to program Tic Tac Toe with AI using Python and Pygame. Tutorial Playlist: • Tic Tac Toe w/AI Tutorial Github 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💡...","preview":{"posterSrc":"data:image/png;base64,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You've probably seen OpenAI's new voice mode for ChatGPT and I will be breaking down 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Master Generative AI from Scratch – GenAI Course for Beginners 🚀 | Start Your AI Career in 2025 🔗 GenAI Course for Beginners Link : https://www.jennyslectures.com/course... Wanna prepare 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be using the numpy module to convert data to numpy arrays, which is what Scikit-learn wants. We will talk more on preprocessing and cross_validation when we get to them in the code, 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this Python Programming Tutorial, we will be learning about the itertools module. The itertools module is a collection of functions that allows us to work with iterators in an efficient 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about map, filter and lambda functions in Python? Watch this Python tutorial. 🔥Subscribe for more Python tutorials like this: / @programmingwithmosh 🔥Python for Beginners Tutorial...","preview":{"posterSrc":"data:image/png;base64,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","censoredPosterSrc":"data:image/png;base64,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python tutorial explains another ten itertools functions, following part 1 at ( • Itertools | More Simple Python Tutorials [... ). These include chain.from_iterable, tee, 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Dreaming of cracking Placements & Internships at top companies(Google, Amazon, Meta, Microsoft, Adobe , Netflix etc..) ? Start your journey with my DSA with JAVA Placement Full 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Intermediate Python Tutorials! Today's Topic: map() function, this function takes two arguments: a function and a list. A lot of these tools will help you to solve...","preview":{"posterSrc":"data:image/png;base64,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Loops in Python are used for repeating the data. For loop 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deserialize...","preview":{"posterSrc":"data:image/png;base64,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to your first argparse tutorial! Here we will be exploring the basics and everything you need to know to get start with using argparse in Python to create some cool Command 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this video, I have taught you about recursions and using several related techniques to write effective python programs. This video is a part of my python for absolute beginners 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A* Path Finding tutorial will show you how to implement the a* search algorithm using python. We will be building a path finding visualizer tool to visualize the a star pathfinding algorithm...","preview":{"posterSrc":"data:image/png;base64,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This will allow us to draw objects using our mouse on the turtle screen. Download Code...","preview":{"posterSrc":"data:image/png;base64,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","censoredPosterSrc":"data:image/png;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCABEAHgDASIAAhEBAxEB/8QAHAAAAQUBAQEAAAAAAAAAAAAABgADBAUHAggB/8QANRAAAQMEAQMCBQIFAwUAAAAAAQIDBAAFBhEh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see more Java videos following link: Java tutorial by durga sir https://goo.gl/XWb4RL Java 9 by durga sir https://goo.gl/hXGyBW Java 1.8 Version New Features by Durga sir 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first 1,000 people to click this link will get a free career coaching session courtesy of Career Karma: https://rebrand.ly/tech-with-tim-51321 Welcome to another video! 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will...","preview":{"posterSrc":"data:image/png;base64,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Download Thonny Ide: https://thonny.org More Python Turtle Tutorial videos: • Python Turtle Tutorials 1 # Draw Square Sp... 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Luck...","preview":{"posterSrc":"data:image/png;base64,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We will make an app that auto clicks your mouse based on an interval you give it or just instant clicks. Can be used 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in Python: This video provides a very simple explanation of recursion such that even a high school student can understand it easily. Recursion is a very important concept in the field...","preview":{"posterSrc":"data:image/png;base64,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","censoredPosterSrc":"data:image/png;ba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