Top Python Resources for Data Science and Machine Learning
If you wish to work in the fields of data science and machine learning, you must first choose a programming language. This is significant since knowledge of the language in which the codes will be implemented is required. Python is one of the finest possibilities, yet you can learn any language such as c, c++, and so on. It is, however, a personal choice.
We’ll look at the definition of Python and several resources for learning it well. The Python programming certification is also popular among programmers.
Python is easy to learn
Python is without a doubt the most popular programming language used by many organisations to create apps. Here are a few of the reasons why Python is a good choice for your career:
Python offers the most user-friendly syntax and readability, making it ideal for novices as well as experienced programmers. Furthermore, it is intuitive and simple to comprehend; in fact, it is practically identical to standard English.
Python works with a variety of paradigms. The majority of users, on the other hand, describe it as a highly object-oriented programming language.
It is a completely free and open-source programming language
It has hundreds of different systems and libraries to choose from. Python frameworks make your development process easier
It allows you to save time by allowing you to quickly replace the entire solution.
Let’s take a look at some resources for learning Python programming:
Udemy
The very first coursework content on this site will be a Python crash course. Syntax and data structures will be covered. After you’ve finished with the chapters, you’ll go on to studying about data science and machine learning libraries. Matplotlib, NumPy, and Pandas are just a few examples.
Josh Portilla will also serve as your tutor. He is also the CEO of Pierian Data Inc., where he is in charge of data science. You can also contact the instructor for in-person data science and Python programming training in addition to the online programmes. Many employees from large corporations including as Cigna, electric, Suisse, the New York Times, McKinsey, and others participate in his training seminars.
The training will teach you important concepts such as:
Cross-validation and the tradeoff between bias and variance
Natural language processes
Systems that are suggested
There are several machine learning algorithms
2.Python Training with TalkPython
This course teaches Python to students through project-based learning. You’ll learn how to complete tasks in Python as well as the Python syntax. Furthermore, once you’ve finished the course, you’ll be able to work on your Python projects on your own.
You will learn how to create ten applications throughout the initial study. The training is inexpensive, with a one-time fee of $69 for permanent access. However, before paying for the course, we urge that you review the content and overview. Check to see if they offer Python programming certification when you complete the course.
3. Coursera is an online learning platform
It’s been around since April 2012, and it’s administered by Andrew NG, a well-known machine learning instructor. Many of the world’s major colleges have partnered with Coursera. In addition, these institutions offer online certifications, degrees, and courses.
4. IBM Python for Data Science, Artificial Intelligence, and Development
Joseph Santarcangelo, a Data Scientist at IBM with a Ph.D., is your IBM trainer. This platform brings together a variety of organisations to share their expertise on the topic. Furthermore, this course serves as an introduction to Python and is appropriate for beginners. Furthermore, students with no prior programming experience can begin with this python course and learn practical Python programming. Python fundamentals, data structures, data assessment, and other topics are covered in the course. In addition, you’ll become acquainted with collections and APIs.
You’ll also learn about machine learning algorithms including regression, classification, dimension reduction, and clustering. Aside from that, you’ll learn about common models like Root Mean Squared Error, Train/Test Split, and Random Forests in this course.
IBM focuses on Python’s real-world applications. As a result, I encourage you to consider how machine learning technologies are altering our current world on a daily basis.
5. Socratica’s Python programming tutorials
Socratica is a YouTube channel that is well-known for being one of the greatest places to learn Python programming. They provide their programming lectures in a style that is as fascinating and effective as watching a decent Netflix series. Python is well-known for its suitability for data science and machine learning tasks. Python’s libraries are also quite useful for both front-end and back-end programming. Scikit-learn and Tensorflow are two of the greatest packages for easily creating AI systems.
Codecademy is number six on the list
Codecademy is one of the most popular options for learning data science, Python, and machine learning in general. You will learn about a variety of skill path courses using this platform. Though most of their specialisations overlap with those offered by Coursera, the latter’s curriculum is significantly shorter. Its course material is intended for people with no prior experience and is novice-friendly up to an expert level. Users also have access to important learning tools such as Codecademy blogs, among other things.
The following are the courses that are available on the platform:
Python 3 is being studied in deep
Python is used to visualise data
Python Data Cleaning Technique
Python is used to create a machine learning model
Conclusion
The resources listed above offer some of the top courses for beginners as well as experienced individuals. However, before investing your money and time in the courses, we recommend that you study everything there is to know about them. Also, avoid the temptation to enrol in multiple classes at the same time. But, whatever path you choose, stick with it until the end. A excellent platform will allow you to put the knowledge you’ve learned in their course into practise. Furthermore, don’t get caught up in the Python vs. R discussion because it will simply serve to divert your attention and waste your time.
The Global Tech Council is the place to go if you’re interested in learning about emerging technologies.
