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

This repository contains the PMAAD course project from the Artificial Intelligence Degree at Universitat Politècnica de Catalunya. It models and analyzes Spotify's top 40 weekly streamed songs (2017-2021) using R. Techniques include clustering, textual analysis, and geospatial analysis to uncover music trends and characteristics.

Analyzing the effects of experience on defensive performance against the option offense

prototype AFNI bids app implmenting participant level preprocessing with afni_proc.py

A diverse dataset comprising various car attributes such as mileage, model year, brand, and more, our predictive model employs to accurately forecast the prices of audi car. From data preprocessing to model training and evaluation, our repository provides code implementation, enabling users to understand and replicate our results seamlessly.

Binary Classification in R and application to classify patients with diabetes

Wrangling WeRateDogs Twitter data to create interesting and trustworthy analyses and visualizations. The Twitter archive is great, but it only contains very basic tweet information.I made additional gathering, then assessing and cleaning to get a "Wow!"-worthy analyses and visualizations.

🧹 Documentação de limpeza de dados para projeto sobre transtorno bipolar latente (PT-BR).

Airlines Dataset by Clustering

Salary_Hike_Dataset

Delivery_Time

Bloc 3 : Analyse prédictive de données structurées par l'intelligence artificielle

FIMUS imputes numerical and categorical missing values by using a data set’s existing patterns including co-appearances of attribute values, correlations among the attributes and similarity of values belonging to an attribute.

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

This is a GitHub repository with a project on loan portfolio analysis and communication for a financial institution using Python, Pandas, and Matplotlib. It provides insights into loan distribution and customer demographics, as well as communication effectiveness.

Discover London GeoJson data with our interactive Graph & Map Visualization Solution using D3. View data with map, graph, & timeline visualizations. Advanced interactivity: pan, zoom, select, brush, link.

Case studies using mlr3

Information Retrieval Course - Assignment - Naïve Bayes Classifier

Hertürlü veri setinde text alanın temizlenmesi için yazılmış açık kaynak bir metin temizleme aracıdır