nslatysheva / ODSC_Sequence_ModellingLinks
Files and code for the ODSC tutorial "Sequence Modelling with Deep Learning"
☆11Updated 2 years ago
Alternatives and similar repositories for ODSC_Sequence_Modelling
Users that are interested in ODSC_Sequence_Modelling are comparing it to the libraries listed below
Sorting:
- A Python package to build predictive linear and logistic regression models focused on performance and interpretation☆30Updated last year
- Data Analysis Baseline Library☆133Updated last year
- Python package for Gower distance☆80Updated last year
- A minimal example of how to use streamlit on Heroku☆21Updated 5 years ago
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated last year
- Capturing model drift and handling its response - Example webinar☆108Updated 6 years ago
- Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.☆102Updated 6 years ago
- How to Interpret SHAP Analyses: A Non-Technical Guide☆56Updated 4 years ago
- ☆44Updated 2 years ago
- Material for Talk at PyData Seattle 2017☆167Updated 7 years ago
- Tutorial covering a new workflow available going from pandas to scikit-learn☆39Updated 2 years ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 5 years ago
- This repository contains ROC and precision-recall curve animations☆257Updated last year
- How to use SHAP values for better cluster analysis☆59Updated 3 years ago
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago
- Mixed Effects Random Forest☆233Updated last year
- Up Your Bus Number: A Primer for Reproducible Data Science☆69Updated 6 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆120Updated 5 years ago
- Code demonstrating a simple Machine Learning model abstract base class and its uses.☆14Updated 2 years ago
- ☆63Updated last year
- ☆60Updated 6 years ago
- Examples of data science projects created with Kedro.☆173Updated 2 years ago
- Tutorial for a new versioning Machine Learning pipeline☆80Updated 4 years ago
- Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)☆37Updated 5 years ago
- It's all in the name☆81Updated 2 years ago
- Tutorial for implementing data validation in data science pipelines☆33Updated 3 years ago
- A list of software and papers related to automatic and fast Exploratory Data Analysis☆431Updated 6 months ago
- An analysis of cycling counts in Auckland in relation to the weather☆88Updated 2 years ago
- A fast and frugal tree classifier for sklearn☆16Updated last month
- An R package that makes xgboost models fully interpretable☆257Updated 7 years ago