Top Resources To Learn Python For Data Science and Machine Learning

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Top Resources To Learn Python For Data Science
and Machine Learning
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If you want to become a professional in the data
science and machine learning sectors, you need to
choose a programming language first. This is
important because having expertise in the
language you would implement the codes is
essential. Though you can learn any language like
c, c, and so on, Python is one of the best
options. However, it depends on your preference.
Here we will look into the definition of Python
and the resources where you can learn it
efficiently.The Python certification is popular
among techies as well.
Understanding Python Undoubtedly, Python is the
most in-use language by various businesses for
formulating applications. Here are some of the
reasons why choosing Python would be beneficial
for your career
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• Python has the most effortless syntax and
  readability that is perfect for beginners and
  highly usable for experienced ones. Moreover, it
  is intuitive and straightforward to understand
  in fact, it is almost similar to regular English.
  
• Python is compatible with various paradigms.
  However, most users describe it as a highly
  object-oriented programming language.
• It is an open-source and free-of-cost programming
  language.
• It offers hundreds of different systems and
  libraries. The frameworks of Python add to your
  developmental process.
• With it, you can eliminate waste of time as it
  allows you to easily replace the entire solution.

Let us look into different resources to learn
Python programming language

• Udemy

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• On this platform, you will take a Python crash
  course as the very first coursework content. This
  will cover syntax and data structures. Once you
  are done with the chapters, you will move ahead
  to learn about libraries popular in data science
  and machine learning. Some of the examples are
  Matplotlib, NumPy, and Pandas, etc.
• Furthermore, Josh Portilla will be your tutor.
  Also, he is head of data science at the company
  named Pierian data Inc. Aside from online
  classes, you can also get in touch with the tutor
  and take in-person data science and Python
  programming training. Many employees of big
  companies like Cigna, electric, Suisse, New York
  Times, McKinsey, electric, and many more attend
  his training programs.
• With the course, you will learn critical concepts
  like
• Bias-variance tradeoff and cross-validation.
• Processes of natural languages.
• Recommended systems.
• Multiple machine learning algorithms.

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2.TalkPython Training This particular course
uses project building to teach Python to its
students. Here you will explore how to perform
projects in Python alongside the Python syntax.
Furthermore, once you complete the course, you
can independently work on your Python projects.
In the initial coursework, you will learn how to
build ten applications. The course is affordable
and charges only 69 for permanent access.
However, we recommend you check out the content
material and outline of the course before paying
for it. Also, check whether they offer Python
programming certification after course
completion. 3. Coursera It has been in
existence since April 2012, and a well-known
machine learning teacher Andrew NG runs the
course program. Coursera has collaborations with
many top universities across the world. Further,
these universities provide online certifications,
degrees as per, and courses.
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4. IBM Python for Data Science, AI, and
Development At IBM, Joseph Santarcangelo is
your trainer who has a Ph.D. and is a Data
Scientist at IBM. This platform brings together
different organizations that provide their
knowledge on the subject. Further, this course is
more like an introduction to Python, and it is
suitable for novices. Moreover, students with no
knowledge can start with this course and learn
practical programming in Python. The course work
includes Python basics, data structures, data
assessment, and so forth. In addition to this,
you'll also get familiar with collections and
APIs. You will also be exploring ML algorithms
such as Regression, Classification, Dimensional
Reduction, Clustering. Aside from this, the
course will introduce you to popular models like
Root Mean Squared Error, Train/Test Split, and
Random Forests. IBM focuses on real-world
applications of Python. Hence, encouraging you to
understand how ML technologies are shifting our
present reality every day. 5. Python
programming tutorials by Socratica Socratica is
a channel on YouTube known to be one of the best
resources to learn Python programming language.
The way they present their programming tutorials
is as engaging and effective as watching a good
series on Netflix. We already know that Python is
majorly applicable for data science and machine
learning projects. Additionally, the libraries of
Python are highly usable for both front-end and
back-end programming. Some of the best libraries
are scikit-learn, and Tensorflow which help you
write an AI system quickly.
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• 6. Codecademy
• Among numerous great courses for learning data
  science, Python, and machine learning altogether,
  Codecademy comes in the top names. With this
  platform, you will get to know multiple skill
  path courses. Though most of their
  specializations match with another learning
  platform named Coursera, its coursework is
  comparatively shorter. Its course material ranges
  from being suitable for individuals with zero
  knowledge and novice-friendly to an advanced
  level. In addition to this, users also get access
  to useful learning materials like Codecademy
  blogs, etc.
• Available courses on the platform are as follows
  
• Learning in-depth Python 3.
• Data visualization with Python.
• Technique to Clean Data With Python.
• Building a ML Model with Python.

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Conclusion The above-mentioned resources provide
some of the best courses that beginners, as well
as experienced individuals, can take. But, still,
we advise you to learn about the courses
thoroughly before investing your money and time
in them. Also, be careful not to fall for the
habit of taking various courses simultaneously.
But whichever python course you take, stick with
it till completion. A good platform will let you
perform the practical implementation of the
knowledge you gain through their course. Further,
don't indulge yourself in the debate of Python
versus R language as it will only distract your
mind and waste your time. If you like learning
about new things in the technical space, the
Global Tech Council is the platform for you.