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Python courses

587 Courses

California Institute of Technology Coursera

XG-Boost 101: Used Cars Price Prediction

Title: XG-Boost 101: Used Cars Price Prediction Description: Dive into the realm of machine learning with our hands-on project where you'll learn to predict used car prices using three different algorithms: Multiple Linear Regression, Random Forest Regression, and XG-Boost. Ideal for car dealerships, this project will enhance your understanding of.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Udemy

Machine Learning and AI: Support Vector Machines in Python

Title: Machine Learning and AI: Support Vector Machines in Python Description: Dive deep into Artificial Intelligence and Data Science with our comprehensive course on Python. Learn essential algorithms for Classification and Regression using Support Vector Machines. Enroll now and enhance your skills in Python, Machine Learning, and SVM techniques.
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provider Udemy
pricing Paid Course
duration 8 hours 58 minutes
sessions On-Demand
California Institute of Technology Udemy

Machine Learning Classification Bootcamp in Python

Join the Machine Learning Classification Bootcamp in Python, offered by Udemy. This comprehensive course is designed to advance your skills in machine learning through hands-on learning and practical projects. Engage in 10 practical projects that cover key concepts and algorithms in Python and Scikit Learn, perfect for enhancing your expertise in f.
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provider Udemy
pricing Paid Course
duration 12 hours
sessions On-Demand
California Institute of Technology Udemy

Data Science Real-World Case Studies - Hands On Python

Title: Data Science Real-World Case Studies - Hands-On Python Description: Explore real-world projects in artificial intelligence, machine learning, natural language processing, and time series analysis. This comprehensive course offered by Udemy equips you to build practical data science skills and prepare for careers as a Data Scientist or Machin.
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provider Udemy
pricing Paid Course
duration 10 hours 21 minutes
sessions On-Demand
California Institute of Technology Udemy

Python Practice Guide for Beginners

Title: Python Practice Guide for Beginners Description: Elevate your coding expertise with the Python Practice Guide curated for beginners. Engage in a series of Python coding challenges that are specifically designed to enhance your problem-solving capabilities. This essential course, available on Udemy, targets newcomers eager to master Python th.
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provider Udemy
pricing Paid Course
duration 4-5 hours
sessions On-Demand
California Institute of Technology Udemy

Algorithmic Trading with Python: Machine Learning strategies

Title: Algorithmic Trading with Python: Machine Learning Strategies Description: Explore the impact of Artificial Intelligence and Machine Learning in Algorithmic Trading. This course includes practical training using MetaTrader 5 bots. Offered by Udemy, this course is ideal for those looking to dive into the application of Python in Machine Learni.
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provider Udemy
pricing Paid Course
duration 5 hours
sessions On-Demand
California Institute of Technology Udemy

300+ Python Exercises (Simple, Intermediate & Complex)

Title: 300+ Python Exercises – From Simple to Complex Description: Enhance your Python skills with this comprehensive course offered by Udemy. With over 300 Python exercises categorized into simple, intermediate, and complex levels, this course includes source code and is perfect for students looking to deepen their knowledge in Python programming,.
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provider Udemy
pricing Paid Course
duration 1 day 4 hours 42 minutes
sessions On-Demand
California Institute of Technology Udemy

Python for Deep Learning: Build Neural Networks in Python

Embark on your journey to mastering Deep Learning with the "Python for Deep Learning: Build Neural Networks in Python" course available on Udemy. This comprehensive course covers all you need to know about Data Science, TensorFlow, Artificial Intelligence, and Neural Networks. Ideal for both beginners and experienced programmers, this course falls.
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provider Udemy
pricing Paid Course
duration 2 hours 4 minutes
sessions On-Demand
California Institute of Technology Udemy

Machine Learning with Python : COMPLETE COURSE FOR BEGINNERS

Machine Learning with Python: Complete Course for Beginners Embark on your journey to mastering machine learning with our comprehensive beginner course, exclusively on Udemy. This course is meticulously designed for beginners to cover all fundamentals of Python, focusing variously on essential topics such as supervised and unsupervised learning, st.
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provider Udemy
pricing Paid Course
duration 13 hours 13 minutes
sessions On-Demand
California Institute of Technology Udemy

Python for Complete Beginners

Embark on your programming journey with the "Python for Complete Beginners" course offered by Udemy. This course is designed to help you master the fundamentals of Python programming, one of the most popular and in-demand programming languages today. No prior experience is required, making this the perfect starting point for those new to the field..
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provider Udemy
pricing Paid Course
duration 2 hours 38 minutes
sessions On-Demand

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!