A lightweight, multithreaded Python package for sketching, column selection, leverage scores and related computations.
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Updated
Sep 16, 2024 - Python
A lightweight, multithreaded Python package for sketching, column selection, leverage scores and related computations.
Assignment-05-Multiple-Linear-Regression-2. Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few y…
Code for the Neurips 2023 Paper "Fast Exact Leverage Score Sampling from Khatri-Rao Products"
Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.
Speeding up clustering algorithms using Sampling techniques (Lightweight Coresets)
Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.p
Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t
This is a repository for CS4ML. It is a general framework for active learning in regression problems. It approximates a target function arising from general types of data, rather than pointwise samples.
Used libraries and functions as follows:
Used libraries and functions as follows:
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