Working on problems is the best way to learn machine learning. Here are 10 projects to start your journey: ↓
Free Online Course on Python Programming by Harvard University Harvard University Application Deadline: Self-Paced
This question is about linear regression. But keep in mind you need to know linear regression well to answer it correctly! It may be tricky. Give it a try: bnomial.com
To follow up, left-to-right order in a list comp matches the top-down order of the nested for loops and if statements. The only thing that goes in a different place is the final `.append`; that goes in the very beginning.
Data Analysis Mini-Tutorial Understanding the distribution of your data is usually a crucial step in the data analysis process. Having normally distributed (bell-shaped) data makes it a lot easier for most machine learning algorithms to detect patterns.
6/6) Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps amzn.to/383HeVa
amazon.com
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model...
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model...
🐙 ML Notebooks (~800⭐️) We've added new ML and NLP notebook tutorials. Some are also available through Kaggle. Hope you find them useful. github.com/dair-ai/ML-Not…
ML YouTube Courses (5.1K⭐️) I've added more info and categories to the repo, so it's much easier to find relevant courses. github.com/dair-ai/ML-You…
Bound methods in #Python can be saved and used later. They remember the object they were from:
Do you use Python 🐍? I often like to suggest people get acquainted with the function `itertools.product`. Handy, for example, to flatten 2 or more nested `for` loops.
What tools do you use when documenting your code? I have used ReStructuredText, Markdown, Sphinx, SublimeText, Grammarly and more!
In Python, below quick operands can be used for different operations. | for union. & for intersection. – for difference ^ for symmetric difference
>>> names={"Brain","Pinky","Mike","Dot"} >>> other={"Brain","Yakko","Wakko","Rita"} >>> names|other {'Yakko', 'Pinky', 'Brain', 'Mike', 'Dot', 'Rita', 'Wakko'} >>> (names|other) -(names ^other) {'Brain'}
I have always liked the ability to add functions as values in #Python dictionaries. This allows you to make complex conditionals much simpler by calling the dictionary based on the key that is passed in. Here is an example that uses lambdas, but you can swap functions in too!
The entire Python Data Science Handbook in the form of free Jupyter notebooks! oreilly.com/library/view/p… github.com/jakevdp/Python…
Only one more week to go and I'll be finished covering most of the 75+ built-in functions of #Python here on Twitter. I hope you've enjoyed the series so far and that you'll stick around for the rest! 🐍🔥
BreakFastApi The most delicious API on the web. Just send a request and you'll receive the most mouth watering dish recipe with estimated cooking time and all the necessary ingredients and instructions. github.com/MariiaSizova/b…
github.com
GitHub - MariiaSizova/breakfastapi: The most delicious API on the web. 🍣 🍔 🍕
The most delicious API on the web. 🍣 🍔 🍕. Contribute to MariiaSizova/breakfastapi development by creating an account on GitHub.
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