Python recommendation toolkit

Tensor Train Toolbox

Multiple Pairwise Comparisons (Post Hoc) Tests in Python

Collection of algorithms and routines for (ultrafast) electron diffraction and scattering

The COVID-19 pandemic has significantly impacted India, necessitating a detailed analysis of the virus’s spread within the country. In this project, we explore an India-specific COVID-19 dataset, leveraging Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.

Rating: (6/10) The project uses Python libraries and APIs to analyze Reddit data, predict user input, suggest new titles based on cosine similarity, calculate combined scores, and output the best suggestion.

Traffic Prediction Web App Our Traffic Prediction Web App, developed using Spyder for backend processing and deployed with Streamlit, offers a user-friendly interface for predicting traffic conditions. By analyzing inputs such as date, day of the week, and vehicle counts, the app provides real-time insights into whether traffic will be normalOrlow

Neural Tangent Kernel (NTK) module for the scikit-learn library

Repositório que reuni os módulos 14 ao 16 da formação Desenvolvimento IA 2023-2024, desenvolvido pela Rocketseat Education.

Source for book "Feature Engineering A-Z"

A new maintained "successor" to scikit-multilearn, a scikit-learn based module for multi-label et. al. classification

Geostatistical variogram estimation expansion in the scipy style

A conan plugin for scikit-build-core

Scikit-longitudinal (Sklong) is an open-source Python library & Scikit-Learn API compliant, tailored to longitudinal machine learning classification tasks. It is ideal for researchers, data scientists, and analysts, as it provides specialist tools for dealing with repeated-measures data challenges

scikit-lexicographical-trees: Based upon Scikit-Learn(-tree), it offers adapted trees and forest for Longitudinal Classification

Auto-Scikit-Longitudinal (Auto-Sklong) is an automated machine learning (AutoML) library designed to analyse longitudinal data (Classification tasks focussed as of today) using various search methods. Namely, Bayesian Optimisation via SMAC3, Asynchronous Successive Halving, Evolutionary Algorithms, and Random Search via GAMA

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Sales predicition using data science in python programming

AIN2002: Introduction to Data Science

Data science and coding portfolio