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  • Consulting Company
  • Japan

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takanyanta/README.md

My Profile

  • Worked at a major steel manufacturing industry as a production engineer(2013/4-2020/7).
  • Now work at a medium sized consulting company as a datascientist(2020/8-).

Development Environment

  • OS : Windows10 Home(64bit)
  • CPU : Intel Corei5-4460
  • GPU : NVIDIA GeForce GTX960

Link

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  1. Horse-Racing-Prediction Horse-Racing-Prediction Public

    Web Scraping, Regression(Machine Learning)

    Jupyter Notebook 2 2

  2. Sparse-LSTM-Autoencoder-Implementation Sparse-LSTM-Autoencoder-Implementation Public

    Using LSTM autoencoder, L1 Regularization, keras

    Jupyter Notebook 5 1

  3. Automatically-Adding-Subtitles-on-Movies Automatically-Adding-Subtitles-on-Movies Public

    Using OCR, translation, openCV

    Jupyter Notebook

  4. Technical-Stock-Trade-Analysis2 Technical-Stock-Trade-Analysis2 Public

    Using Logistic Regression, Gradient Boost Classification, GRU Classification

    Jupyter Notebook 1

  5. Cooking-Schedule-Optimization Cooking-Schedule-Optimization Public

    Linear Programming(Gurobi Grammer), Optimization, Production Engineering(Industrial Engineering)

    HTML 1

  6. Comparison-of-Transfer-Learning-Technique Comparison-of-Transfer-Learning-Technique Public

    Convolutional Neural Networks, Transfer Learning, Fine Tuning, Data Augmentation, VGG-16, ResNet-18, Classification, Keras

    Jupyter Notebook 1