FranzDiebold / data-science-cheat-sheetsLinks
A collection of Data Science cheat sheets.
☆50Updated 3 years ago
Alternatives and similar repositories for data-science-cheat-sheets
Users that are interested in data-science-cheat-sheets are comparing it to the libraries listed below
Sorting:
- Errata and code for Effective Pandas book☆374Updated 3 years ago
- Code for the book "Software Engineering for Data Scientists"☆120Updated 3 months ago
- Tutorials on creating a reproducible and maintainable data science project☆149Updated 3 years ago
- A repo for the book 'Streamlit for Data Science' by Tyler Richards☆243Updated 2 years ago
- Plots from the book "Storytelling with data" implementation using Python and matplotlib☆380Updated 2 years ago
- summarytools in jupyter notebook☆111Updated last year
- Cleaning Data for Effective Data Science, published by Packt☆102Updated this week
- Resources for Machine Learning Pocket Reference☆273Updated 4 years ago
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆170Updated last year
- An introductory workshop on pandas with notebooks and exercises for following along. Slides contain all solutions.☆432Updated this week
- A tutorial for setting a new machine with core data science tools☆294Updated last year
- An introduction to data science in Python, for people with no programming experience.☆470Updated 8 months ago
- This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.☆433Updated last year
- Python-centered read-along of Forecasting: Principles and Practice☆512Updated 4 months ago
- A workshop on data visualization in Python with notebooks and exercises for following along. Slides contain all solutions.☆272Updated last month
- ☆121Updated 3 years ago
- Pandas Cookbook Second Edition, published by Packt☆296Updated last month
- A comprehensive collection of Jupyter Notebook templates for data science tasks, developed to improve workflow efficiency and cover a wid…☆75Updated 2 years ago
- ☆295Updated 2 years ago
- Python Data Cleaning Cookbook, published by Packt☆275Updated last month
- Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"☆81Updated last year
- Python Data Analysis, Third Edition, Published by Packt☆208Updated this week
- ☆181Updated 2 years ago
- Getting started with Streamlit for Data Science, published by Packt☆84Updated 3 years ago
- (WIP) Getting started with Docker - An introduction to Docker with data science and engineering applications☆129Updated 2 years ago
- Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with…☆108Updated 2 months ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆220Updated this week
- A fine book including tips and tricks around Data Science with Python☆39Updated 8 months ago
- Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.☆236Updated 3 years ago
- Interpretable Machine Learning with Python, published by Packt☆475Updated this week