Data Science and Machine Learning with Python - Full Course

Data Science and Machine Learning with Python - Full Course

This Article is about Data Science and Machine Learning with Python. You will also get to work on Hands-on Projects at the end of this Article

This Article is about Data Science and Machine Learning with Python. You will also get to work on Hands-on Projects at the end of this Article.

You can download Python from python.org. But if you don’t want to download Python, I recommend you to use the Google Colab which already includes most of the libraries that you need to do data science.

Lets Start from the basic Python for Data Science

1. Python for Data Science and Machine Learning

Whitespace Formatting

Many languages use curly braces to delimit blocks of code. Python uses indentation:

for i in [1, 2, 3, 4, 5]:
  print(i) # first line in "for i" block
  for j in [1, 2, 3, 4, 5]:
    print(j) # first line in "for j" block
    print(i + j) # last line in "for j" block
  print(i) # last line in "for i" block
print("done looping")

This makes Python code very readable, but it also means that you have to be very careful with your formatting.

Whitespace is ignored inside parentheses and brackets, which can be helpful for long-winded computations:

python machine-learning data-science

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