Detecting Respiratory Diseases via Audio samples using Deep Learning and Librosa
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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.
nlp machine-learning natural-language-processing deep-learning feature-extraction kaggle-competition supervised-learning feature-engineering unsupervised-learning hyperparameter-tuning kears
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The TF Gym repo shares daily TensorFlow projects on ML/DL, including RL, providing educational resources for beginners and practical examples for experienced users with detailed instructions for applications like image classification and text generation.
nlp data-science machine-learning translator ai computer-vision deep-learning time-series tensorflow modeling artificial-intelligence mnist iris poetry-generator kears
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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.
encoding data-science pca outliers dimensionality-reduction feature-engineering feature-scaling smote fraud-detection max-pooling nerual-network correlation-analysis kears label-encoding detection-model standardscaler classification-algorithms fraudulent-transactions tsne-visualization non-fraudulent-transactions
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FlexLingo is a final year IoT project that serves as a flex sensor-based sign language translator. It uses Random Forest and BiLSTM models to interpret real-time hand gestures, translating them into spoken words or text via an Arduino smart glove and a React web interface.
python arduino machine-learning random-forest reactjs team final-year-project leadership real-time-systems bilstm kears tailwindcss flex-sensors iot-sign-language-translation
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Deep_Learning(simple neural network and output models predicted labels and true labels)
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poverty prediction and analysis
data-science machine-learning deep-neural-networks data-visualization python3 kaggle-competition tableau feature-engineering sentimental-analysis costa-rica kears scikit-learn-python poverty-prediction
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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.
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There are several deep learning basic projects which provide good knowledge of basic concepts of deep learning & it's consist variety of algorithms of DL(like aslinear Regressor problem ,linear Classifier problem ,Tensorflow and keras)
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This repo introduces word embeddings. It contains complete code to train word embeddings from scratch on a small dataset.
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Dự án này là một ứng dụng web sử dụng học sâu (Deep Learning) để phân loại hình ảnh X-ray phổi thành các loại bệnh khác nhau, bao gồm COVID-19, Bacterial, Lung Opacity, Normal, và Viral. Ứng dụng được xây dựng bằng Flask và tích hợp mô hình học sâu được huấn luyện bằng TensorFlow/Keras.
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Image Semantic Segmentation
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Fashion Recommendation System using Deep Learning
opencv machine-learning deep-learning tensorflow numpy scikit-learn image-processing feature-extraction neural-networks nearest-neighbors transfer-learning pickle resnet-50 kears streamlit
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A Fraud Prediction Model
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Optimization of Neural Network using Keras Tuner
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