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sklearn

Códigos de diseño de clasificadores SVM y MLP para la identificación de vocalizaciones de perros y ovejas en entornos rurales, junto con algoritmos de optimización de arquitecturas MLP mediante algoritmos evolutivos

Time series multiclassification with PyTorch

Command Line Interface for developers of qary -- the open source, teachable AI assistant that truly assists, rather than manipulating you.

2 class from csv (CatBoost & Naive Bayes)

A CBIR and classification system that uses both representation learning and handcrafted features to build the image descriptors.

Slang Identification via Machine Learning using sklearn.

Slang Identification via Machine Learning using sklearn.

This Car Prediction Project aims to predict v price, using Regression models. The project contains a collection of data files, model files, and Python scripts necessary for training and deploying car prediction Price models. This project encompasses a comprehensive set of data files, serialized models, and Python scripts necessary for training, evaluating, and deploying car price prediction models.

Vamos a contruir un Chatbot Inteligente capaz de interpretar el lenguaje humano y generar respuestas coherentes con tu propia información

Simple testing code to show abilities of sklearn

My attempts to solve homework from the Moscow Institute of Physics and Technology course

All left code from labs 1-3 years(university studing)

Collection of completed data-mining (university course) on python

Simple raw code templates that used for create real size plots for semiconductor labs (university course)

Final project of course ML junior by Skillbox. Goal: Build model to predict client's loan default. Metrics: ROC-AUC

This code repository contains an implementation for classifying malware using graph-based features and machine learning techniques. The code is designed to perform classification using both decision trees and support vector machines (SVMs). By toggling between Fc.fit_tree and Fc.fit_svm0 in the code (**), you can switch between using a decision tree classifier and an SVM classifier.

Code and data for Natural Language Processing in Action, 2nd Edition, by Maria Dyshel and Hobson Lane for Manning Publications

This is a test task for Longevity InTime AI powered company.

Работа с базой данных PostgreSQL и длинными запросами

Развертывание модели и запуск обучения по расписанию с использованием Airflow в Docker.