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.
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:
PySpark in Machine Learning | Data Science | Machine Learning | Python. PySpark is the API of Python to support the framework of Apache Spark. Apache Spark is the component of Hadoop Ecosystem, which is now getting very popular with the big data frameworks.
PyTorch for Deep Learning | Data Science | Machine Learning | Python. PyTorch is a library in Python which provides tools to build deep learning models. What python does for programming PyTorch does for deep learning. Python is a very flexible language for programming and just like python, the PyTorch library provides flexible tools for deep learning.
Machine learning algorithms are different from other algorithms. With most algorithms, a programmer begins by entering the algorithm.
In this article, I will take you through some highly used applications of Machine Learning in finance sectors that you should be perfect at if you have a good interest in Finance.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant