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Scalable machine 🤖 learning for time series forecasting.
Vizro is a toolkit for creating modular data visualization applications.
Data Apps & Dashboards for Python. No JavaScript Required.
A Python library that helps data scientists to infer causation rather than observing correlation.
An extremely fast Python linter and code formatter, written in Rust.
Sync .pre-commit-config.yaml repos starting from poetry.lock
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
A set of documented functions for simulating the performance of photovoltaic energy systems.
mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Tools for WoE Transformation mostly used in ScoreCard Model for credit rating
Python package for performing the Alternating Conditional Expectation (ACE) regression
Entropy based binning of discrete variables.
Fit interpretable models. Explain blackbox machine learning.
Machine learning flashcards
VIP cheatsheets for Stanford's CS 229 Machine Learning
A library for training and deploying machine learning models on Amazon SageMaker
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
🔧 .files, including ~/.macos — sensible hacker defaults for macOS
Color schemes for default macOS Terminal.app
Tools for test driven data-wrangling and data validation.
Unotes Visual Studio Code Extension. A markdown WYSIWYG notes editor.
Fish-like autosuggestions for zsh
PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io
An opinionated guide for writing clean, maintainable SQL.
Distributed scikit-learn meta-estimators in PySpark
A set of tools to keep your pinned Python dependencies fresh.
Extra blocks for scikit-learn pipelines.