Detecting Respiratory Diseases via Audio samples using Deep Learning and Librosa

Machine Learning - - Supervised, Unsupervised, and deep learning. Processing data for features, training models, assess performance, and tune parameters for better performance. In the process, you'll get an introduction to natural language processing, image processing, and popular libraries such as Spark and Keras.

Focused on advancing credit card fraud detection, this project employs machine learning algorithms, including neural networks and decision trees, to enhance fraud prevention in the banking sector. It serves as the final project for a Data Science course at the University of Ottawa in 2023.

Too Simple Experiments

Image Semantic Segmentation

poverty prediction and analysis

A system that uses deep learning LSTM model to predict the price increase or decrease of one or more stocks for the next three months.

This repo introduces word embeddings. It contains complete code to train word embeddings from scratch on a small dataset.

Image OCR in Keras

Project notebook

templates of keras official pretrained model instances

Fashion Recommendation System using Deep Learning

Optimization of Neural Network using Keras Tuner

A Fraud Prediction Model

Keras Implementation of faster-rcnn

Code to convert keras model to caffe2 model

Various applications of deep learning have been demonstrated.

Permet de creer avec Tensorflow et Keras un recommandeur de hastag pour image, avec des algorithmes de deep learning.

The project is focused on building Classification Model using Convolution Neural Network for classifying the images into "Horse" and "Human".