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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
A machine learning model that predicts the loan defaulter.
Open flash loader example project for the lpc1756 and the is25lq040b
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.
Kotlin Multiplatform library template for quick-starts without dealing with boilerplate code
Automated Libraries like : DataPrep, AutoViz, SweetViz, Klib, Dtale, Pandas Profiling are used here to help succeed in data analysis endeavors. Happy automating!
Build a machine learning model that predicts the Envision Racing drivers’ lap times.
This GitHub repository contains code for predicting sales in Big Mart outlets using machine learning algorithms.
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
decode text encoded with ascii * 2^0 to 2^8
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 classify the credit score based on people bank details and credit related information.
Machine Learning model to predict the weekly dispatch count of the warehouse.
MachineHack-work_hour_prediction_challenge
Machine Learning model to predict Accident Risk Index by using area/district level accident data
Build a model that can predict customers' Long Term Value (LTV).
Titanic Data visualization using KLIB
Kaggle Competition Notebooks