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  1. ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian in Python

    15 17

  2. Time Series Decomposition techniques and random forest algorithm on sales data

    Jupyter Notebook 6 1

  3. Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification

    Jupyter Notebook 4

  4. Easy & Quick : Docker services are using hyperopt in parallel on top of Mongodb

    Python 1 1

  5. Random Forest Binary Classification is applying on sample data in PySpark on Jupyter Notebook

    Jupyter Notebook 1

  6. Discovering hairstyle trends at a global scale on Instagram. Instagram posts have been clustered together into hairstyles

    Jupyter Notebook 1

201 contributions in the last year

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