PyDataSanLuis / conferenceLinks
Slides and material from PyData San Luis 2017 conference
☆13Updated 8 years ago
Alternatives and similar repositories for conference
Users that are interested in conference are comparing it to the libraries listed below
Sorting:
- Introduction to web scraping and text mining☆48Updated 6 years ago
- Know your ML Score based on Sculley's paper☆34Updated 6 years ago
- Public repository for versioning machine learning data☆42Updated 4 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆121Updated 5 years ago
- Tutorial code and data for the entity resolution workshops.☆45Updated 10 years ago
- PyDataLondonTutorial☆26Updated 9 years ago
- Project template for highly effective data science workflows☆29Updated 2 months ago
- Tutorial covering a new workflow available going from pandas to scikit-learn☆40Updated 3 years ago
- How to use Python to understand data and transform the data into a tidy format ready to be used for modelling and visualisation.☆36Updated 6 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 3 years ago
- ☆15Updated 7 years ago
- Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle☆33Updated 9 years ago
- Bayesian statistics seminars☆29Updated 8 years ago
- An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.☆16Updated 8 years ago
- Comparing Polars to Pandas and a small introduction☆44Updated 4 years ago
- A template for a dash applicaiton☆57Updated 3 years ago
- Scikit-learn tutorial at SciPy2016☆19Updated 9 years ago
- Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM☆47Updated 8 years ago
- Materials for the workshop Advanced Text Analysis with SpaCy and Scikit-Learn, given at NYU during NYCDH Week 2017, at PyData NYC in Nov.…☆83Updated 3 years ago
- Tools that make working with scikit-learn and pandas easier.☆44Updated 2 months ago
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated last year
- Collection of code snippets and utilities for streamlit apps☆22Updated 5 years ago
- Machines and people collaborating together through Jupyter notebooks.☆18Updated 8 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆38Updated 6 years ago
- Material for UW Extension Data Science 350☆19Updated 8 years ago
- 🐍💨 Airflow tutorial for PyCon 2019☆88Updated 3 years ago
- Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017☆12Updated 8 years ago
- The goal of this repository is to detect the outliers for a dataset & see the impact of these outliers on predictive models☆22Updated 7 years ago
- 💥 Browser-based slides or PDFs of our talks and presentations☆94Updated 7 years ago
- ☆28Updated 6 years ago