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Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Python 8.15% Jupyter Notebook 91.85%

amazing-feature-engineering's Introduction

Hi there 👋

Dinh Ngoc Tuan - Robotics Engineer from Viet Nam

  • 🌱 My major is mechatronics and robotics. I have a strong passion for Artificial Intelligence. My dream is to apply and optimize control algorithms, Computer Vision and Language Processing into robots in the future

denotevn Tuan Dinh

  • ✍ I'm a student of ITMO University (ITMO), Saint Petersburg, Russian

  • 🌱 I’m currently learning Control algorithm for robot, AI/Machine Learning/DeepLearning, Computer vision and NPL.

  • 💬 Ask me about AI/ML/DL/Algorithms

  • 📫 How to reach me ?

Skills and Experience

  • Machine Learning: Have 2 years of experience using Python experience using Tensorflow, PyTorch, and Keras.
  • Deep Learning: Have experience in Deep Learning framework (Pytorch, Tensorflow), OpenCV and image processing.
  • Natural Language Processing: Experienced in handling NLP tasks such as entity recognition, word segmentation, POS tagging and NLP toolkits (Scikit-learn, NLTK, numpy).
  • Microcontrollers and Algorithm: Experience in simulating control algorithms using matlab, simulink. Have experience working with STM32F401 microcontroller

amazing-feature-engineering's People

Contributors

ashishpatel26 avatar yimeng-zhang avatar

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