A notebook for a medium article about text classification with Hugging Face DistilBert and Tensorflow 2.0

VALEO CHALLENGE (13 th). Predict defect on starter motor production lines. Classification task over imbalanced data

To generate Word Embeddings and retrieve outputs of each layer with Keras based on the Sentiment Classification task

This project involves a classification task using various machine learning algorithms on a heart disease dataset. The dataset comprises features related to heart health, with the target variable indicating the presence or absence of heart disease.

Training and data loading scripts in PyTorch

Solution for Toxic Comment Classification Challenge hosted on Kaggle

Hand gesture recognition system with an mobile app to play a game of Rock-Paper-Scissors

Code for Kaggle competition Titanic: Machine Learning from Disaster

"О! Хакатон". Трек "Тегирование тарифов". Решение заняло 3-е место

This dataset includes Twitter Handles extracted from Wikidata. For entity type classification task on handles, they are grouped into four groups: person, location, organization, product, and character.

Ternary classification problem using real-world, incomplete data from a live DrivenData competition.

Can we predict what a person is doing based on their movements?

CMPS240 NLP project, toxic content detection

This solution ranked 1st in the inclass competition on Kaggle out of 43 teams. The data challenge is a project taken to climax the kernel methods in machine learning course at AMMI-2020, aimed at the implementation of machine learning algorithms to gain understanding and further adapt them to structural data (DNA sequence data). In this report, …

Implementing Naive Bayes Algorithm on a dataset having high cardinality issues.

Text Mining used for a classification task using PubMed unstructured data

Ensemble des projets du cours ROB313 - Perception pour la Robotique de l'école ENSTA IP Paris.

Parallel implementation of classification task using a few different classifiers with use of MPI.