PacktPublishing / Pandas-Cookbook-Second-EditionLinks
Pandas Cookbook Second Edition, published by Packt
☆295Updated last month
Alternatives and similar repositories for Pandas-Cookbook-Second-Edition
Users that are interested in Pandas-Cookbook-Second-Edition are comparing it to the libraries listed below
Sorting:
- Errata and code for Effective Pandas book☆373Updated 3 years ago
- Resources for Machine Learning Pocket Reference☆270Updated 4 years ago
- Python Data Cleaning Cookbook, published by Packt☆274Updated last month
- The Pandas Workshop, published by Packt☆92Updated last month
- Python Data Analysis, Third Edition, Published by Packt☆208Updated last month
- Practical Data Science with Python, published by Packt☆138Updated last month
- Materials for following along with Hands-On Data Analysis with Pandas – Second Edition☆684Updated 8 months ago
- Materials for following along with Hands-On Data Analysis with Pandas.☆425Updated 2 months ago
- Files for my "Pandas Workout" book☆102Updated last year
- Pandas Cookbook, published by Packt☆771Updated 3 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆219Updated last month
- Practical Data Analysis using Jupyter Notebook, published by Packt Publishing☆99Updated last month
- Cleaning Data for Effective Data Science, published by Packt☆101Updated last month
- Present your data as an effective and compelling story☆111Updated 6 years ago
- The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to imp…☆136Updated this week
- (Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form☆290Updated 3 years ago
- An introduction to data science in Python, for people with no programming experience.☆467Updated 7 months ago
- Complete source code (datasets and Jupyter Notebooks) for Pandas In Action☆242Updated 2 years ago
- ☆157Updated last month
- An introductory workshop on pandas with notebooks and exercises for following along. Slides contain all solutions.☆428Updated 3 weeks ago
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆86Updated 9 years ago
- Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"☆81Updated last year
- Python Feature Engineering Cookbook, published by Packt☆487Updated last month
- Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices☆132Updated 4 years ago
- Hands-On Data Science for Marketing, published by Packt☆257Updated 8 months ago
- Repository to accompany "Pandas for Everyone"☆422Updated 7 years ago
- Interactive Dashboards and Data Apps with Plotly and Dash, published by Packt☆278Updated last month
- Source Code for 'Applied Data Science Using PySpark' by Ramcharan Kakarla, Sundar Krishnan, and Sridhar Alla☆48Updated 4 years ago
- ☆128Updated last month
- pandas, numpy, matplotlib, data-wrangling☆38Updated last month