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

    164 86

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

    Jupyter Notebook 30 11

  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 15 18

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

    Jupyter Notebook 9 3

  5. Fashion MNIST as a Service that is using Mlflow and Tensorboard for reporting on Docker.

    Jupyter Notebook 4 1

  6. Dockerize an Apache Flink Application using Docker and Docker-Compose

    Java 3 1

7 contributions in the last year

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Contribution activity

September 2021

erdiolmezogullari has no activity yet for this period.

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