Easy to use Python library of customized functions for cleaning and analyzing data.
100% Kotlin/Native PDF/EPUB Library (read, write, edit, create, render). Full KMP (Android, iOS, Web Wasm/JS, JVM Desktop). No expect/actuals. Supports rendering directly into Compose Multiplatform without any interop views.
Hardware 2FA TOTP authenticator
In this repository, we would see different available libraries for Exploratory Data Analysis
Embedded hardware (arm cortex) library to use with cmake and (arm-none-eabi-)gcc
Fast MCP server for Kotlin/Native Apple API lookup with local klib indexing, compact symbol cards, and on-demand metadata inspection.
Kotlin Multiplatform library template for quick-starts without dealing with boilerplate code
Data cleaning and Exploratory data analysis is the challenging task for everyone. Around 80% of time is taken for the data cleaning and EDA and remaining 20% is for model building and all other process. Because of it's time complexity, reasearchers introduced a more Automated libraries for perform Automated EDA and data cleaning operations with …
Open flash loader example project for the lpc1756 and the is25lq040b
Build a model that can predict customers' Long Term Value (LTV).
Machine learning solution for insurance cross-selling optimization, achieving 89.7% ROC-AUC using an ensemble of CatBoost, LightGBM, and XGBoost models. Analyzes 11M customer records to predict vehicle insurance interest among health insurance customers.
Build a machine learning model that predicts the Envision Racing drivers’ lap times.
Build a Machine Learning model to predict the CTR(click through rate) of an email campaign based on the email campaigning information.
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