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Python courses

702 Courses

California Institute of Technology Udemy

Machine Learning using Python

Discover the power of Machine Learning using Python with this comprehensive course on Udemy. Dive into essential ML models including Linear and Logistic Regression, Decision Trees, XGBoost, and Support Vector Machines (SVM). Perfect for beginners and seasoned programmers alike, these lessons cover both theory and practical applications. Enroll toda.
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provider Udemy
pricing Paid Course
duration 18 hours 49 minutes
sessions On-Demand
California Institute of Technology Udemy

Natural Language Processing (NLP) in Python with 8 Projects

Enhance your skills in Natural Language Processing (NLP) with Python through 8 hands-on projects, offered by Udemy. Dive into the realms of Machine Learning, Deep Learning, and libraries like SpaCy, NLTK, and Sklearn. This course is ideal for those interested in gaining proficiency in areas like CNN (Convolutional Neural Networks) and Sentiment Ana.
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provider Udemy
pricing Paid Course
duration 10 hours
sessions On-Demand
California Institute of Technology Pluralsight

Literacy Essentials: Core Concepts Recommender Systems

Title: Literacy Essentials: Core Concepts Recommender Systems Description: Dive into the dynamic world of recommender systems with our comprehensive course, "Literacy Essentials: Core Concepts Recommender Systems", offered by Pluralsight. Understand the critical role of data and artificial intelligence in today's technology-driven environment, and.
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provider Pluralsight
pricing Free Trial Available
duration 1 hour 3 minutes
sessions On-Demand
California Institute of Technology Udemy

Zero to Hero with GPT-3 & Python : Building Cutting-Edge AI

Title: Zero to Hero with GPT-3 & Python: Building Cutting-Edge AI Description: Unleash the power of GPT-3 with Python and craft advanced AI applications. This comprehensive course, provided by Udemy, guides you through the exciting world of AI development using GPT-3 and Python. Dive deep into practical, real-world applications and transform from a.
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provider Udemy
pricing Paid Course
duration 2 hours 27 minutes
sessions On-Demand
California Institute of Technology Udemy

Python Numpy Data Analysis for Data Scientist | AI | ML | DL

Event Title: Python Numpy Data Analysis for Data Scientist | AI | ML | DL Description: Master the essentials of data analysis with our comprehensive course on Python Pandas, tailored for Data Science, AI, Machine Learning, and Deep Learning applications. This specialized training, provided by Udemy, empowers you to enhance your data manipulation sk.
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provider Udemy
pricing Paid Course
duration 6 hours 29 minutes
sessions On-Demand
California Institute of Technology edX  Professional Certificate

Data Engineering

Organizations today are flooded with data, and the pressing need to transform vast amounts of information into actionable insights has escalated the demand for skilled Data Engineers. Data Engineers are crucial in building and optimizing systems to collect, store, and analyze data, enabling businesses to make strategic decisions based on substantia.
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provider edX  Professional Certificate
pricing $1,196.00
duration 57 weeks, 3-4 hours a week
California Institute of Technology Udemy

Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]

Title: Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024] Description: Master the art of crafting machine learning algorithms with our comprehensive course led by seasoned data science experts. This insightful program on Udemy covers both Python and R, providing useful code templates to enhance your learning experience. Jumpstart your jour.
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provider Udemy
pricing Paid Course
duration 1 day 18 hours 40 minutes
sessions On-Demand
California Institute of Technology Udemy

Genetic Algorithms in Python and MATLAB

Genetic Algorithms in Python and MATLAB: A Practical and Handsense Workshop Join the expert-led course by Udemy, focusing on the application of Genetic Algorithms in Python and MATLAB. This hands-on workshop is tailored for enthusiasts in the fields of Python, MATLAB, and genomics. Enroll today to bridge the gap between theory and practical impleme.
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provider Udemy
pricing Free Online Course
duration 4 hours 12 minutes
sessions On-Demand
California Institute of Technology Udemy

Introduction to Data Science using Python (Module 1/3)

Introduction to Data Science using Python (Module 1/3) Explore the fundamentals of data science and machine learning using Python with this comprehensive module offered on Udemy. Whether you're a beginner or looking to brush up on your skills, this course caters to all levels. Dive into the powerful Scikit Learn library and unlock the potential of.
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provider Udemy
pricing Free Online Course
duration 2 hours 32 minutes
sessions On-Demand
California Institute of Technology Udemy

Python : Master Programming and Development with 15 Projects

Python: Master Programming and Development with 15 Projects - Udemy Python: Master Programming and Development with 15 Projects Embark on a comprehensive journey to learn Python with this extensive course. Covering everything from the basics to advanced topics like Data Science, Data Visualization, Desktop Graphical Appl.
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provider Udemy
pricing Paid Course
duration 1 day 8 hours 8 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!