Dynamically route tasks to the best AI model and configuration using an LLM-powered intelligent selection system.
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Updated
Jul 28, 2025 - HTML
Dynamically route tasks to the best AI model and configuration using an LLM-powered intelligent selection system.
Machine SurfLearning: Using Machine Learning Models to Predict San Diego Surf Conditions with Historical Buoy Data in Python
This is the website repository for the Stata packages lassopack & pdslasso. Please visit:
Curso de Regression Models do Coursera
Prediction of the age of abalones in R.
Steps for preprocessing data for predictive modeling
Analysis of Categorical Variables
Exercises from 'An Introduction to Statistical Learning with Applications in R' by James et al.
Modeling and Prediction for Movies
Intro to model selection in R lecture
A statistical and machine learning analysis of the Hitters dataset to model salary levels using multinomial logistic regression and other predictive techniques.
Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice
Project 1 for udacity nd230 course
Boston house prices prediction for machine learning nanodegree
Built a system that can recognize words communicated using the American Sign Language (ASL). Trained a set of Hidden Markov Models (HMMs) using part of a preprocessed dataset of tracked hand and nose positions extracted from video to try and identify individual words from test sequences. Experimented with model selection techniques including BIC…
Model selection for reliability estimation in series systems with Weibull components: when can engineers safely use simpler models?
My portfolio of algorithms I used to analysize various shapes and forms of data with statistical and machine learning tools.
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