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How I find and explore datasets from Kaggle using Python

Wondering where to find data for your Python data science projects? Find out why Kaggle is my go-to and how I explore data ...

Machine Learning for C++ developers: DMLLib and VisualDML

Here’s a quick library to write your GPU-based operators and execute them in your Nvidia, AMD, Intel or whatever, along with my new VisualDML tool to design your operators visually. This is a follow ...
GitHub

TfELM : Extreme Learning Machines Framework with Python and TensorFlow

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
GitHub

Depyler – Compiles Python to Rust

A Python-to-Rust transpiler with semantic verification and memory safety analysis. Depyler translates annotated Python code into idiomatic Rust, preserving program semantics while providing ...
IEEE

A Study on Sailboat Price Prediction Method Based on Multiple Linear Regression Model and XGBoost Algorithm

Abstract: this study aims to explore sailboat price prediction methods through the utilization of a multiple linear regression model and the XGBoost algorithm, addressing the pricing challenges in the ...
IEEE

House Price Prediction Using Linear and Lasso Regression

Abstract: This research paper aims to predict house prices with more efficiency and accuracy. The research paper involves three machine learning algorithms, "linear regression, lasso regression, and ...