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  1. Sentimental-Analysis-using-LSTM-GRU Sentimental-Analysis-using-LSTM-GRU Public

    Sentiment analysis lets you analyze the sentiment behind a given piece of text. In this notebook, we have done sentimental analysis for amazon shoe reviews, using 2 RNN models(LSTM and GRU)

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  2. Text-Extraction-using-Pytesseract Text-Extraction-using-Pytesseract Public

    Text extraction from image using pytessearct. An API is built using flask and docker.

    Python 1

  3. Working-with-librosa Working-with-librosa Public

    Librosa is a package in python that deals with audio clips like converting then into frequencies using FFT or converting them to spectogram.

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  4. Text-based-editing-using-speech-recognition Text-based-editing-using-speech-recognition Public

    Using voice to control notepad for text editing.

    Python

  5. Stock-Prediction-using-web-scrapping Stock-Prediction-using-web-scrapping Public

    The problem we are targeting here is to predict the future value of S&P500 given the past values. The key is to predict the value faster with increased accuracy in comparison to classical technique…

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  6. Detection-of-moving-object Detection-of-moving-object Public

    Detection of moving objects in a video i.e. car, human, etc using opencv with 2 different methods.

    Jupyter Notebook