A lightweight, multithreaded Python package for sketching, column selection, leverage scores and related computations.

Code for the Neurips 2023 Paper "Fast Exact Leverage Score Sampling from Khatri-Rao Products"

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 years Marketing Spend -- spend on Marketing in the past few years State -- states from which data is collected Profit -- profit of each state in the past few years.

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)

Auxiliary tools: distributed SVD, QR, sample mesh, etc

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

Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.p

Implementation and analysis of CUR matrix decomposition for interpretable dimensionality reduction, based on Mahoney & Drineas’ work.

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: