Implementation of Imputer: Sequence Modelling via Imputation and Dynamic Programming in PyTorch

An abstract missing value imputation library. EasyImputer employs the right kind of imputation technique based on the statistics of missing data.

This project contains transformers for missing value imputation

Machine learning models and approaches

Build machine learning model to predict whether a house will sell or not based on a set of features. The results will be presented in the form of interactive widgets in jupyter notebook for technical audience that can be used to make informed decision about selling their properties.

Data cleaning tools, handling missing data, categorical data, feature scaling

Data Imputer API in Python

Handling numerical missing data using, interpolation, spline interpolation, simple imputer, etc on weather data

Data Cleaning and Data Visualization with python libraries like numpy , pandas, sklean,seaborn, matplotlib-pyplot