8000 ginamartinezl (Gina Martínez López) · GitHub
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  1. Voice_Classification_with_librosa_and_sklearn Voice_Classification_with_librosa_and_sklearn Public

    Speaker identification project (voice classification) using Pyt 6313 hon and machine learning techniques, with libraries such as librosa and sklearn.

    Jupyter Notebook

  2. Neural_Network_to_classify_Emotions Neural_Network_to_classify_Emotions Public

    The central objective of the project is to use a neural network to classify voice data based on the voice's sentiment: angry, sad, happy. Using Python (numpy, pandas, sklearn, torch).

    Jupyter Notebook

  3. NLP_TF_TFIDF NLP_TF_TFIDF Public

    Apply cleaning techniques to normalize text. Recognize elements of bag-of-words using TF and TF-iDF. Apply Naive-Bayes to classify texts and compare NB results with other algorithms.

    Jupyter Notebook

  4. Object_recognition-computer_vision Object_recognition-computer_vision Public

    Image classification and object recognition using the CNN DenseNet and EfficientNet convolutional neural networks with the Frozen Model and the Coffe framework. Subsequently, using the CNN MobileNe…

    Jupyter Notebook

  5. SVM_HeartDisease SVM_HeartDisease Public

    We will use support vector machines to determine whether a patient has heart disease. We will use data from [heart disease](https://archive.ics.uci.edu/ml/datasets/Heart+Disease) located in the [UC…

    Jupyter Notebook

  6. LSTM_Pytorch LSTM_Pytorch Public

    We'll build an LSTM-type recurrent neural network in PyTorch. The network will train character by character on a text, then generate new text character by character. We'll train with text from a book.

    Jupyter Notebook

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