matplotlib / cheatsheets
Official Matplotlib cheat sheets
You Can Do Everything in Pandas With SQL
Sometimes, you should
Advanced Python: 9 Best Practices to Apply When You Define Classes
How to make your code more…
5 Powerful Visualisation with Pandas for Data Preprocessing
“One look is worth a thousand words.”…
Embed Interactive Plots in Your Slides with Plotly
Going beyond PowerPoint with Spectacle Editor
Creating Presentations with Python
Create and update Powerpoint (.pptx) files with Python
Automate Your Reporting Process With Python and Vue.js
A concrete step by step example to automate…
3 Best Books for Beginner Data Scientists
Improve your data analysis skills by getting these three…
Monte Carlo integration in Python
A famous Casino-inspired trick for data science, statistics, and all…
How to make your Python code more functional
And why that might make your code more robust, testable…
GitHub is the best AutoML you will ever need
A step-by-step tutorial to build AutoML using PyCaret 2.0
Which Python Data Science Package Should I Use When?
A map of the Python data science library land
Options for packaging your Python code: Wheels, Conda, Docker, and more
You’ve written your Python application—a server, CLI tool, or batch process—and now you need to ...
Python: Detecting Twitter Bots with Graphs and Machine Learning
Featuring Graph2Vec, XGBoost, and more!
OpenCV Sudoku Solver and OCR
In this tutorial, you will create an automatic sudoku puzzle solver using OpenCV, Deep ...
Why developers are falling in love with functional programming
From Python to Haskell, the trend isn’t…
Computer vision and the ultimate pong AI
Using Python and…
Here’s how I Learned Just Enough Programming for Data Science
How to approach learning programming and…
3 Neglected Features in Python 3 That Everyone Should Be Using
Enums, fstrings, and data classes
Debugging Python server memory leaks with the Fil profiler
Your server is running just fine, handling requests and sending responses. But then, ever so ...
How GPT3 Works - Visualizations and Animations
Discussions: Hacker News (397 points, 97 comments), Reddit r/MachineLearning (247 points, 27 ...
Why You Should Never, Ever print() in a Lambda Function
How to spot an AWS Lambda novice, just like…
Meet Your New Best Exploratory Data Analysis Friend
Easy creation, rich insights
Django Developers Community Survey 2020
We're conducting a seventeen question survey to assess how the community feels about the current ...
Z4nzu / hackingtool
ALL IN ONE Hacking Tool For Hackers
jbesomi / texthero
Text preprocessing, representation and visualization from zero to hero.
Rapptz / discord.py
An API wrapper for Discord written in Python.
yzhao062 / anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
timothycrosley / isort
A Python utility / library to sort imports.
Here is an absolute Beginners Tutorial that can help you guys to get started with Machine learning. All you need is some basic knowledge of Python. You will have created two ML models at the end of this tutorial and also know the working of some ML algorithms.
Project by Ruslan Keba. Since 2012. Powered by Python.