Code for WASSA-2024-Task-1
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Updated
Jun 12, 2024 - Jupyter Notebook
Code for WASSA-2024-Task-1
Fit Gamma-Poisson Generalized Linear Models Reliably
This repository contains scripts which I have written during Machine Learning A-Z course.
A unified framework for tabular probabilistic regression and probability distributions in python
This project aims to understand and predict a car's fuel efficiency based on its characteristics. I have built a multiple linear regression model using stats models and scikit-learn.
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
📊 R Programming Fundamentals: An In-Depth Guide with Comments
AI POCS: ML, NLP, LLM, Vision, Classification, clustering, GenAI, Transformers, PyTorch, Keras, All things AI POCS.
공부하고 있는 자료들 📃✏
Data pre-processing with modular components for: normalizer/standarizer, unbiaser, trimmer and feature selector.
Compendium of free ML reading resources
This space is being used for exhibiting data science projects- both Exploratory, Descriptive, Predictive and Daignostic Analytics. Learn with Me!!!
Statistical Machine Intelligence & Learning Engine
A statistics package with a variety of bootstrap and other resampling tools. This repository is synced to the same-named repository owned by GNU-Octave. It exists to facilitate publication of the developmental version of the statistics-resampling toolbox at MathWorks FileExchange.
Regression Models for Epidemiology
Regression model building and forecasting in R
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
Espero que en este repo encuentres inspiración para aprender y desarrollarte en el mundo de la Estadística, no soy perfecto en todo así que si tienes una sugerencia la aceptares con todo el gusto, espero disfrutes lo que puedes encontrar en la página **Este repo aun esta en construcción**
mlpack: a fast, header-only C++ machine learning library
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