Comparative Analysis of Basic ML algorithms and its conclusion.
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Updated
Oct 12, 2024 - Jupyter Notebook
Comparative Analysis of Basic ML algorithms and its conclusion.
"О! Хакатон". Трек "Тегирование тарифов". Решение заняло 3-е место
Hand gesture recognition system with an mobile app to play a game of Rock-Paper-Scissors
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.
Unofficial implementation for ScanNet (a fast WSI prediction method) in PyTorch.
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
Using various ML models and Neural Networks with Focal Loss function to predict fraudulent credit card transactions.
Training and data loading scripts in PyTorch
Can we predict what a person is doing based on their movements?
Parallel implementation of classification task using a few different classifiers with use of MPI.
Ensemble des projets du cours ROB313 - Perception pour la Robotique de l'école ENSTA IP Paris.
Train Image classification on CIFAR10 using tensorflow and keras. Create a inference using opencv. OpenCV to read tensorflow graph.
VALEO CHALLENGE (13 th). Predict defect on starter motor production lines. Classification task over imbalanced data
Implementing Naive Bayes Algorithm on a dataset having high cardinality issues.
A notebook for a medium article about text classification with Hugging Face DistilBert and Tensorflow 2.0
Ternary classification problem using real-world, incomplete data from a live DrivenData competition.
The MAFAT challenge, by the Israeli Department of Defense. Deep Learning based approach to classify radar signatures of humans and animals.
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