arthurmello / statistics

Related projects ⓘ

Alternatives and complementary repositories for statistics

• grahamharrison68 / Public-Github
  Repository for GH public projects
  ☆17Updated 8 months ago
• feature-engine / feature-engine-examples
  ☆31Updated 6 months ago
• khuyentran1401 / detect-data-drift-pipeline
  A pipeline to detect data drift and retrain the model when there is drift
  ☆22Updated last year
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆30Updated 3 years ago
• marcopeix / intermittent_time_series
  ☆14Updated last year
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆36Updated 2 months ago
• ugursavci / Customer_Lifetime_Value_Prediction
  ☆13Updated 2 years ago
• RamiKrispin / ai-dev-2024-ml-workshop
  Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"
  ☆91Updated this week
• PacktPublishing / Modern-Time-Series-Forecasting-with-Python-2E
  Modern Time Series Forecasting with Python 2E, Published by Packt
  ☆53Updated last week
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆15Updated last year
• joaopcnogueira / ts2ml
  Tools to Transform a Time Series into Features and Target a.k.a Supervised Learning
  ☆98Updated last year
• egarcia00 / Portfolio_Optimization_Medium
  A code that helps you run scenarios to assess which stock create the best portfolio at minimum risk and maximum return with past informat…
  ☆12Updated 2 years ago
• Paulescu / fast_eda
  Fast data exploration using Sweetviz
  ☆22Updated 2 years ago
• ctanujit / FEWNet
  ☆13Updated 2 months ago
• PacktPublishing / Python-Feature-Engineering-Cookbook-Third-Edition
  Python Feature Engineering Cookbook, Third Edition, published by Packt
  ☆30Updated 3 months ago
• avikumart / Time-series-analysis-and-forecasting
  In this repository, I have mentioned all the time series analysis methods from statsmodels library to analyse and model time-series data.
  ☆36Updated 2 years ago
• nhsx / skunkworks-synthetic-data
  A pipeline for generating and evaluating synthetic data generation models. Currently using SynthVAE to demonstrate functionality. Read mo…
  ☆24Updated 2 years ago
• Paulescu / testing-llms-in-the-real-world
  Test LLMs automatically with Giskard and CI/CD
  ☆28Updated 3 months ago
• marcopeix / AppliedTimeSeriesForecastingInPython
  Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python
  ☆41Updated 10 months ago
• SpencerLuck / Regime-Analysis
  Time series regime analysis in python
  ☆13Updated 2 years ago
• LinkedInLearning / fine-tune-llms--4511663
  This repo is for linkedin learning course: Fine-Tune Your LLMs
  ☆11Updated 7 months ago
• vcerqueira / blog
  ☆17Updated 8 months ago
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆25Updated last year
• FlorinAndrei / misc
  a catch-all repo
  ☆10Updated 10 months ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆26Updated 2 years ago
• datasciencecampus / statschat-app
  Prototype search engine for ONS bulletins
  ☆23Updated 7 months ago
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆30Updated last week
• VincentGranville / Statistical-Optimization
  Statistical optimization for AI and machine learning
  ☆45Updated last month
• VincentGranville / Main
  Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several f…
  ☆85Updated 2 months ago
• predict-idlab / cct-cmc
  Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
  ☆14Updated 6 months ago