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Advanced Python & Artificial Intelligence The Ultimate Guide

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Published 8/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 796.87 MB | Duration: 2h 24m

Unlock the Power of Python: Harnessing Data Science Techniques, Machine Learning, and Deep Learning

What you’ll learn
Introduction to Python and Data Science
Machine Learning Fundamentals
Neural Networks and Deep Learning
Computer Vision with Deep Learning
Natural Language Processing with Deep Learning
Setting up Python and Visual Studio Code for AI
Building Machine Learning Models with Python and Scikit-learn
Developing Deep Learning Models with Python and TensorFlow

Requirements
Computer and internet
We will try to use all possible free tools on the market
Does not require any knowledge in the field

Description
Why You Should Learn Artificial Intelligence: Machine and Deep Learning with PythonMachine and deep learning are the hottest topics in the world of technology today. They are the branches of artificial intelligence that enable computers to learn from data and perform tasks that would normally require human intelligence, such as recognizing faces, understanding speech, playing games, and more.Machine and deep learning are not only fascinating and fun, but also extremely valuable and rewarding. They can help you solve complex problems, create innovative products, advance your career, and make a positive impact on the world.But how do you learn machine and deep learning? What skills and tools do you need?The answer is simple: Python.Python is one of the most popular and powerful programming languages for machine and deep learning. It has a rich set of libraries and frameworks that make it easy to implement and deploy machine and deep learning models. Some of the most widely used ones are:NumPy: for numerical computingPandas: for data manipulation and analysisMatplotlib: for data visualizationScikit-learn: for machine learning algorithmsTensorFlow: for deep learning modelsKeras: for high-level deep learning APIPyTorch: for dynamic deep learning modelsPython is also a general-purpose language that can be used for web development, data science, scripting, automation, and more. It has a simple and elegant syntax that makes it easy to read and write. It has a large and active community that provides support and resources. It is open-source and free to use.Learning Python will not only help you master machine and deep learning, but also open up a world of possibilities for you.But how do you learn Python?The best way to learn Python is by doing. You need to practice coding, apply your knowledge, and work on real-world projects. You need to challenge yourself, experiment, and have fun.That’s why we have created this course: Master Machine and Deep Learning with Python.This course is designed for anyone who wants to learn machine and deep learning with Python. Whether you are a beginner or an experienced programmer, you will find this course engaging, practical, and fun.In this course, you will learn how to:Use Python to explore, analyze, and visualize dataApply machine learning techniques such as linear and logistic regression, k-means clustering, decision trees, random forests, and moreBuild and train neural networks and deep learning models using TensorFlow, Keras, and PyTorchCreate machine learning projects for real-world applications such as image recognition, sentiment analysis, spam detection, and moreThis course is not just a collection of videos and slides. It is a hands-on learning experience that will guide you step by step through the process of creating machine and deep learning models with Python.You will get access to:Interactive lectures that explain the concepts and show the codeQuizzes that test your understanding and reinforce your learningExercises that challenge you to apply what you learnedProjects that let you build your own machine and deep learning applicationsFeedback that helps you improve your skillsSupport that answers your questions and solves your problemsBy the end of this course, you will have a solid foundation in machine and deep learning with Python and be ready to take on any challenge.But don’t take our word for it. Here’s what some of our students have to say about this course:“This course is amazing! I learned so much in such a short time. The instructor is very clear and engaging. The projects are fun and relevant. I highly recommend this course to anyone who wants to learn machine and deep learning with Python.” – Maria“This course is the best investment I ever made. I was able to land my dream job as a machine learning engineer after completing this course. The instructor is very knowledgeable and helpful. The projects are challenging but rewarding. I can’t thank him enough for this course.” – John“This course is a game-changer. I was able to create my own machine learning applications with Python after taking this course. The instructor is very passionate and inspiring. The projects are creative and practical. I love this course.” – DavidSo what are you waiting for?Machine and deep learning are the future of technology. Python is the key to unlocking their potential.Don’t miss this opportunity to learn machine and deep learning with Python.Enroll now and start your machine learning journey today!

Overview
Section 1: Introduction to Python and Data Science

Lecture 1 What will we learn in this course?

Lecture 2 Download and Install VS Code

Lecture 3 Download and install Python

Lecture 4 Google Colab

Section 2: Object-Oriented Programming in Python

Lecture 5 Classes and Objects

Lecture 6 Python Inheritance and Polymorphism

Lecture 7 Encapsulation and Abstraction

Lecture 8 Magic Methods and Operator Overloading

Lecture 9 Multiple Inheritance and Mixins

Section 3: Functional Programming in Python

Lecture 10 Lambda Expressions and Higher-Order Functions

Lecture 11 Map, Filter, and Reduce Functions

Lecture 12 Iterators and Generators

Lecture 13 List Comprehensions and Generator Expressions

Lecture 14 Decorators and Closures

Section 4: Data Structures and Algorithms in Python

Lecture 15 Arrays and Lists

Lecture 16 Stacks and Queues

Lecture 17 Linked Lists and Trees

Lecture 18 Hash Tables and Sets

Lecture 19 Sorting and Searching Algorithms

Section 5: Advanced Modules and Libraries in Python

Lecture 20 NumPy and SciPy for Scientific Computing

Lecture 21 Pandas and Matplotlib for Data Analysis and Visualization

Lecture 22 Requests and BeautifulSoup for Web Scraping

Lecture 23 TensorFlow and PyTorch for Machine Learning

Lecture 24 Inheritance and Polymorphism

Lecture 25 Flask and Django for Web Development

Lecture 26 List Comprehensions and Generator Expressions

Section 6: Download the Book Python and Artificial Intelligence

Lecture 27 Download the Free Book

This course is for anyone who wants to learn how to use machine and deep learning with Python, regardless of their prior experience or background.,This course is for programmers who want to enhance their skills and knowledge in machine and deep learning with Python, and apply them to real-world projects.,This course is for students who want to gain a solid foundation in machine and deep learning with Python, and prepare themselves for further studies or careers in this field.,This course is for enthusiasts who want to explore the amazing world of machine and deep learning with Python, and have fun along the way.


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