EuroScipy 2014 tutorial: Introduction to predictive analytics with pandas and scikit-learn
☆85Aug 30, 2014Updated 11 years ago
Alternatives and similar repositories for sklearn_pandas_tutorial
Users that are interested in sklearn_pandas_tutorial are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Material for the statistics in Python tutorial☆43Oct 1, 2015Updated 10 years ago
- Scikit-learn Tutorial at EuroPython 2014☆43Dec 26, 2018Updated 7 years ago
- Bokeh tutorial, PyData Berlin☆10May 29, 2015Updated 11 years ago
- Bayesian data analysis with PyMC(2)☆17Oct 11, 2013Updated 12 years ago
- Networks meet Finance in Python - July 27 2014☆23Oct 2, 2014Updated 11 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Git/Github Intro☆13Jun 17, 2015Updated 11 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Jun 14, 2016Updated 10 years ago
- CSV inspection☆10Dec 20, 2022Updated 3 years ago
- ☆23Jun 25, 2026Updated last month
- Tutorial on interpreting and understanding machine learning models☆69Nov 15, 2018Updated 7 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Apr 1, 2015Updated 11 years ago
- Homegrown analysis of Prospect Theory: Math, turkers and python =)☆33Mar 2, 2015Updated 11 years ago
- PyData Seattle 2015: Python Data Bikeshed☆125Jul 26, 2015Updated 11 years ago
- PyTennessee 2014: Statistical Data Analysis in Python☆85Jul 7, 2014Updated 12 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Materials for my talks at PyData 2014 at Strata, NYC☆17Oct 15, 2014Updated 11 years ago
- Small repo for WIP pymc examples☆13May 15, 2016Updated 10 years ago
- IPython advanced tutorial: introducing the interactive features of the IPython Notebook☆42Aug 27, 2014Updated 11 years ago
- Statistics 157, Fall 2017, UC Berkeley☆12Jun 18, 2020Updated 6 years ago
- Using data to dig into the 2015 NL Cy Young race☆10Nov 19, 2015Updated 10 years ago
- Just little bits.☆10Aug 5, 2025Updated 11 months ago
- An IPython Notebook-based tutorial on Boost.Python☆10Jan 9, 2015Updated 11 years ago
- A Bayesian testing framework written in Python.☆94Feb 10, 2015Updated 11 years ago
- iPython notebooks and data files for the 'Pandas in a Hurry' tutorial of the 2015 San Diego Data Science Fun Conference☆12Feb 27, 2015Updated 11 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Texton boost implementation in C++ by Philipp Kraehenbuehl☆32Apr 15, 2013Updated 13 years ago
- A Beginner's Guide to Machine Learning with Scikit-Learn☆31Feb 15, 2014Updated 12 years ago
- Serves Numpy Arrays Persistently in Memory Mapped Files☆16Oct 16, 2013Updated 12 years ago
- Tutorial on scikit-learn and IPython for parallel machine learning☆1,589Oct 4, 2016Updated 9 years ago
- This code retrieves the live traffic json file from TomTom, and cleans this data to replicate the live chart shown on the webpage.☆11Apr 21, 2020Updated 6 years ago
- Some iPython Notebooks I have created for personal learning☆65Mar 7, 2024Updated 2 years ago
- Concurrent Pandas is a Python Library that allows you to use Pandas to concurrently download bulk data using threads or processes.☆14Sep 16, 2020Updated 5 years ago
- Taller del Máster Profesional de Informática UGR. Curso de CloudComputing.☆10May 6, 2019Updated 7 years ago
- Continuum's public tutorial repository☆53Jun 25, 2026Updated last month
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Blog☆27Jul 8, 2026Updated 3 weeks ago
- GitHub Flavored Markdown Preview for TextMate 2☆14May 21, 2026Updated 2 months ago
- Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015☆145Jul 8, 2015Updated 11 years ago
- Inspired by John Foreman. Created by the crowds.☆54Oct 12, 2023Updated 2 years ago
- Pydata SV 2014 Talk: See in live: http://bit.ly/bugra-pydata-sv-2014☆18Mar 22, 2015Updated 11 years ago
- ☆12Mar 14, 2015Updated 11 years ago
- Materials for my pandas tutorial at PyData 2014, NYC☆111Aug 26, 2015Updated 10 years ago