The practitioner's forecasting library

🔉 👦 👧Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)

A fast, robust library to check for offensive language in strings, dropdown replacement of "profanity-check".

🔉 👦 👧 👩 👨 Speaker identification using voice MFCCs and GMM

Recognition of the images with artificial intelligence includes train and tests based on Python.

Efficient sparse matrix implementation for various "Principal Component Analysis"

DMLLTDetectorPulseDiscriminator - A supervised machine learning approach for shape-sensitive detector pulse discrimination in lifetime spectroscopy applications

This consists of various machine learning algorithms like Linear regression, logistic regression, SVM, Decision tree, kNN etc. This will provide you basic knowledge of Machine learning algorithms using python. You'll learn PyTorch, pandas, numpy, matplotlib, seaborn, and various libraries.

Codes for "Parkinson’s Disease Diagnosis: Effect of Autoencoders to Extract Features from Vocal Characteristics"

A Q&A based chatbot which queries the database to find responses for similar questions asked by the users

This repository demonstrates data imputation using Scikit-Learn's SimpleImputer, KNNImputer, and IterativeImputer.

a python project that uses machine learning to estimate the weight of a fish.

An AI model built to understand the sentiments transmitted through a phrase.

24/01/2024 Jeyfrey J. Calero R. Aplicación de Redes Neuronales con scikit-learn streamlit, pandas, seaborn y matplolib

analysis application developed with Streamlit, designed to facilitate the evaluation of review sentiments—positive or negative—by leveraging a pre-trained machine learning model. Users can input review text and instantly receive sentiment predictions through a streamlined, interactive web interface powered by Streamlit .

ML model deployment using docker, kubernetes; API deployment with FastAPI; and MLOps using MLFlow for water potability dataset

This repository contains the code for some models that classify music files into their specific genres

Este repositorio BenchMarkLibr contiene herramientas y ejemplos para algoritmos de árboles de decisión (ID3, C4.5, CART) aplicados en clasificación y regresión. Incluye comparaciones con Scikit-Learn, XGBoost y LightGBM, destacando sus aplicaciones y eficiencia en diferentes ámbitos.

Flight Price Prediction Regression using Scikit-Learn