Easy to use Python library of customized functions for cleaning and analyzing data.

Hardware 2FA TOTP authenticator

In this repository, we would see different available libraries for Exploratory Data Analysis

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Embedded hardware (arm cortex) library to use with cmake and (arm-none-eabi-)gcc

faops operates fasta files

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A machine learning model that predicts the loan defaulter.

Kotlin Multiplatform library template for quick-starts without dealing with boilerplate code

Mouse jiggler project for klib

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 few lines of code.It helps to makes our work easier within the time.

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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.

Open flash loader example project for the lpc1756 and the is25lq040b

SVD files for Klib

Build a machine learning model that predicts the Envision Racing drivers’ lap times.

conducted in-depth analysis of a large dataset containing historical sales data, product attributes and store information. --> Developed and implemented machine learning models, including regression algorithms, to accurately forecast sales for different products and stores and we finally obtained a better result through random forest regression alg

Build a Machine Learning model to predict the CTR(click through rate) of an email campaign based on the email campaigning information.

Machine Learning model to predict Accident Risk Index by using area/district level accident data

decode text encoded with ascii * 2^0 to 2^8

Klib dfu bootloader

This GitHub repository contains code for predicting sales in Big Mart outlets using machine learning algorithms.

Titanic Data visualization using KLIB

Machine Learning model to predict the weekly dispatch count of the warehouse.

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Machine learning model to classify the credit score based on people bank details and credit related information.

Automated Libraries like : DataPrep, AutoViz, SweetViz, Klib, Dtale, Pandas Profiling are used here to help succeed in data analysis endeavors. Happy automating!

MachineHack-work_hour_prediction_challenge

This project is created as a MSc Thesis for the course Autonomous Vehicle Dynamics and Control