Easy to use Python library of customized functions for cleaning and analyzing data.
In this repository, we would see different available libraries for Exploratory Data Analysis
Hardware 2FA TOTP authenticator
Embedded hardware (arm cortex) library to use with cmake and (arm-none-eabi-)gcc
Open flash loader example project for the lpc1756 and the is25lq040b
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 …
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
Machine Learning model to predict the weekly dispatch count of the warehouse.
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