A framework for prototyping and benchmarking imputation methods

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

Simple and automatic data cleaning in one line of code! It performs one-hot encoding, date & time casting to datetime dtype, detects binary columns, safely convert non-numeric columns to numeric dtypes, cleaning dirty/empty values, normalizing values and removing unwanted columns all in one line of code. Get your data ready for model training an…

NLPiper is a package that agglomerates different NLP tools and applies their transformations in the target document.

In-sensor reservoir computing for language learning via two-dimensional memristors

EEG/MEG data preprocessing and analyses framework

Jupyter Notebook Praktikum Projects. This is repository with data analyst educational projects from Yandex.Praktikum.

An open-source tool for performing feature selection process in different areas of research

Análise de dados sobre cotas de gênero e seu impacto nas eleições e proposições legislativas da Câmara dos Deputados Federais entre 1934 e 2021. Parte do TCC da pós-graduação em Inteligência Artificial e Aprendizado de Máquina na @pucminas

Flask REST API for Recommender System Book App on Android

This project of recognizing digit and converting it to text uses Signal processing techniques such as MFCC and other Advanced Signal Processing techniques for the preprocessing of the data. Then the Preprocessed data is used by the Neural Network algorithms to learn the pattern or structure of the sound.

ENPM808A: Introduction to Machine Learning Final Project

The specProc package is a collection of preprocessing tools for spectroscopy data analysis.

This project develops an activity recognition model for a mobile fitness app using statistical analysis and machine learning. By processing smartphone sensor data, it extracts features to train models that accurately recognize user activities.

In this project, I do some analysis, visualizations, and then create movie recommender system on imdb data. I do that because I want to know more about movies, especially Hollywood movies. Therefore, I do analysis and visualization on imdb data which is contain informations about movies, e.g. who is produced, when the movies release, rating movi…

Code and experiments related to the paper: 'An adaptive standardisation methodology for Day-Ahead electricity price forecasting'

What attributes influence the selection of a romantic partner?

Scripts for pre-processing eye-tracker data from pupil cloud

Analysis Sentiment on Twitter Free Sex In Indonesia