Learning Python π is not just a prerequisite for getting into machine learning, but it's an investment that will help your career for the rest of your life.
A thread with my recommendations:
β 1/10
A thread with my recommendations:
β 1/10
Before getting into it, if you have never coded before, make sure you build your Python skills to a point where you feel really comfortable solving problems.
Take your time, and don't rush it.
β 2/10
Take your time, and don't rush it.
β 2/10
A lot of people want to read a book and immediately jump into machine learning.
Everything is possible in life, but I'd recommend you focus on building a strong coding foundation before moving on.
β 3/10
Everything is possible in life, but I'd recommend you focus on building a strong coding foundation before moving on.
β 3/10
A good course you can use to start is "Introduction to Python Programming."
Here you'll learn Python's fundamentals, along with programming best practices, libraries, and everything you need to become a developer.
udacity.com/course/introduβ¦
β 4/10
Here you'll learn Python's fundamentals, along with programming best practices, libraries, and everything you need to become a developer.
udacity.com/course/introduβ¦
β 4/10
Areas you should focus on:
β’ General syntax
β’ Basic data types
β’ Strings
β’ Arrays, Lists, Dictionaries, Tuples, Sets
β’ Conditionals and control flow
β’ Exception handling
β’ Comprehensions
β’ Slicing
β’ Object-Oriented Programming
β’ Decorators and generators
β 5/10
β’ General syntax
β’ Basic data types
β’ Strings
β’ Arrays, Lists, Dictionaries, Tuples, Sets
β’ Conditionals and control flow
β’ Exception handling
β’ Comprehensions
β’ Slicing
β’ Object-Oriented Programming
β’ Decorators and generators
β 5/10
Another great resource is the Official Python Tutorial.
It will introduce you to the language's basic concepts and features and many of Python's most noteworthy features.
docs.python.org/3/tutorial/
β 6/10
It will introduce you to the language's basic concepts and features and many of Python's most noteworthy features.
docs.python.org/3/tutorial/
β 6/10
There are a couple of libraries that you want to pay special attention to:
β’ NumPy
β’ Pandas
These two are fundamental for machine learning. Try to go through a few tutorials and learn how to use them early on.
β 7/10
β’ NumPy
β’ Pandas
These two are fundamental for machine learning. Try to go through a few tutorials and learn how to use them early on.
β 7/10
My favorite source of Python information is @realpython's website.
You can learn all things Python from the ground up. Everything from the language's absolute basics to web development and web scraping to data visualization and beyond.
realpython.com
β 8/10
You can learn all things Python from the ground up. Everything from the language's absolute basics to web development and web scraping to data visualization and beyond.
realpython.com
β 8/10
If you are looking for a book, you can't go wrong with the world's best-selling guide to the Python programming language.
amzn.to/3tZAwFq
β 9/10
amzn.to/3tZAwFq
β 9/10
Remember, you can do machine learning with a lot of different languages.
R, Java, C++, Julia, JavaScript, among other alternatives, are possible, but most of the community uses Python.
Why make it harder than it needs to be? Learning Python will be your best bet.
β 10/10
R, Java, C++, Julia, JavaScript, among other alternatives, are possible, but most of the community uses Python.
Why make it harder than it needs to be? Learning Python will be your best bet.
β 10/10
If you found this thread helpful, follow me @svpino
for weekly posts touching on machine learning and how to use it to build real-life systems.
Itβs all about building value, and thatβs way more fun if we do it together!
for weekly posts touching on machine learning and how to use it to build real-life systems.
Itβs all about building value, and thatβs way more fun if we do it together!
β’ β’ β’
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