Python courses

702 Courses

Advanced AI and Machine Learning Techniques and Capstone

Join our Advanced AI and Machine Learning Techniques and Capstone course to explore high-level AI & ML strategies. This course culminates in a capstone project where you'll utilize comprehensive skills to tackle a real-world challenge. Throughout, you'll encounter state-of-the-art machine learning methods and delve into the ethical consider.
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Explainable AI in Python

Enhance your understanding of Explainable AI with this comprehensive course offered by DataCamp. Designed for data scientists and machine learning practitioners, you'll gain expertise in using Python's Scikit-learn, SHAP, and LIME to interpret and visualize AI model behaviors. Why is Explainable AI crucial? Transparent, accountable, and t.
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Machine Learning, Data Science and Generative AI with Python

Join our comprehensive, hands-on tutorial to delve into the realms of Machine Learning, Data Science, and Generative AI with Python. This course provides a deep dive into essential technologies and tools such as TensorFlow, GPT, OpenAI, and neural networks. Perfect for those seeking practical experience and aiming to advance their skills in m.
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Ensemble Machine Learning in Python: Random Forest, AdaBoost

Ensemble Machine Learning in Python: Random Forest, AdaBoost | Udemy Enhance your data science skills with our comprehensive course on ensemble machine learning in Python. Delve into powerful techniques like Random Forest and AdaBoost, as well as foundational ensemble methods such as Boosting, Bagging, and Bootstrap. This course is provided b.
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Data Science: Modern Deep Learning in Python

Immerse yourself in the world of data science with our course on Modern Deep Learning in Python. Designed for both beginners and experienced practitioners, this course offers a comprehensive exploration of cutting-edge deep learning methods using popular Python libraries like TensorFlow, Theano, Keras, PyTorch, CNTK, and MXNet. Leverage the.
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Python : Master Programming and Development with 15 Projects

Join our extensive Python course where you will delve into the complete Python programming landscape. This course offers a robust curriculum starting from the basics of Python and expanding into various fields such as Data Science, Data Visualization, Desktop Graphical Applications using Tkinter, and Machine Learning. With 15 hands-on project.
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The Python Programming For Everyone Immersive Training

Embark on an exciting journey with the Python Programming For Everyone Immersive Training, exclusively on Udemy. Designed for learners of all levels, this comprehensive course ensures you gain practical experience and expertise in Python. Delve into object-oriented programming, explore intricate data structures, and earn your certification as.
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Machine Learning A-Z™: Hands-On Python & R in Data Science

Unlock the power of machine learning with the Machine Learning A-Z™ course, providing practical experience with Python and R. This Udemy course is designed for those looking to expand their knowledge in advanced data visualization, linear regression, decision trees, and essential libraries like NumPy and Pandas. Whether you're a budding data s.
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Deep learning Preparation Course in Arabic Part 1 : Python

Embark on your machine learning journey with the Deep Learning Preparation Course in Arabic, Part 1: Python. Learn the essential skills needed to become a learning machine. This course is delivered by experts on Udemy, providing a comprehensive introduction to Python within the context of deep learning. Categories include: Python Courses.
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走进人工智能(人工智能概论)

走进人工智能(人工智能概论)课程是一门专为高职专科生设计的课程,旨在帮助学习者了解并感知人工智能技术在日常生活中的应用。课程设计理念通过将复杂的技术理论与实际应用场景结合,以便学习者通过生活感知人工智能,并通过视频、图文、讨论等多元化形式激发兴趣。学习者还可以通过作业和考试环节加深理解和巩固学习成果。 课程涵盖七大模块,包括:人工智能的发展历史、.
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Your speed of mastering the profession and success in this matter largely depends on which programming language you start learning first. How to choose it? Let's answer using a python ai course as an example.

What criteria should you use to choose your first language?

For learning to progress quickly, the programming language must have a simple syntax. It is desirable that it be high-level and flexible - then you can experiment with different options for solving the same problem.

Of course, it cannot be said that the choice of the first language always determines how successful the student’s future career path will be. But it can have a powerful impact on professional development as well as self-learning skills.

Even if we talk about spoken languages, you’ve probably heard the statement that the language a person speaks determines his thinking: “the number of languages you know, the number of times you are human.” This statement is also relevant for programming. Note that this skill is often described as an effective tool for developing thinking that teaches people to solve problems well.

When choosing the first language, the following criteria are also taken into account:

It’s difficult to name an ideal programming language to learn as a first language, but Python definitely meets most of the listed criteria, which means it can be safely recommended to beginners.

Scope of Python

Scripting languages are rapidly gaining popularity these days. They are already used to write software even more often than traditional system ones. Python is compatible with all major operating systems and platforms. You will learn this information at a python course. It is actively used in science, web development, Machine Learning, game creation, complex visual effects, and more.

Community, technical documentation

The Python language has gathered a large community of developers from all over the world who are engaged not only in its study, but also in its development. The documentation base related to Python is extensive and well-developed, so even a beginner will not have much difficulty finding answers to almost all questions that arise. He also has enough standard libraries for all occasions, and there are even more open-source repositories.

Simplicity

Because Python has a simple syntax, its code is easy to read and understand. Statements are terminated by the end of the line, and the block structure is determined by indentation.

Among the features of Python, it is worth highlighting the use of indentations that delimit blocks of code. Correct formatting is ensured by the interpreter, which prevents the creation of unreadable code. So if in other programming languages indentation is a “handwriting” and an art, then in Python it is one of the components of the syntax.

Python Strengths and Weaknesses

We have already noted above some of the advantages of a python certification course, now we propose to compare them with the disadvantages in order to objectively evaluate the language as the first one to learn.

Pluses

  1. Easy to learn.

  2. Laconic.

  3. Easy and understandable syntax.

  4. Interpretability.

  5. Wide scope of use.

  6. Demand.

  7. Dynamic typing.

  8. A large number of libraries.

  9. Lots of technical documentation and training materials.

  10. Cross-platform.

Minuses

  1. Slow program execution speed: Because dynamically typed languages execute code line by line, this makes it difficult to develop software that requires high performance. However, the programmer's productivity increases, which can be considered a kind of compensation.

  2. Programs written in Python require a lot of memory.

  3. Because there is no check during compilation, errors sometimes occur when executing the code. Because of this, very high-quality testing is required before production launch.

Conclusion

Python is a clear, easy-to-learn, universal, in-demand and promising language. Despite the presence of certain disadvantages, its advantages significantly outweigh all the disadvantages, especially when it comes to novice programmers. That's why a python online course from AI Eeducation is a great choice to start your IT career!