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HARD MODE 🤖
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HARD MODE 🤖
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Achievements

Achievement: Pull SharkAchievement: YOLO

Achievements

Achievement: Pull SharkAchievement: YOLO

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nqkhanh2002/README.md

Hi there! I'm Nguyen Quoc Khanh, an AI Engineer from Viet Nam

Profile banner

I'm highly motivated and passionate about Computer Science. My dream is to use my talents in machine learning/AI and statistical analysis to solve real-world problems and make the customer achieve more. This is me, Nguyen Quoc Khanh

brucesteven

  • 🔭 I’m currently working on VNUHCM-UIT

  • 🌱 I’m currently learning AI/Machine Learning/DeepLearning,Algorithms,Frontend,Backend

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

  • 📫 Reach me: Email: [email protected] / Portfolio

Skills and Experience

  • Machine Learning: Have 3 years of experience using Python, data structure algorithms, basic databases: FLask API, Docker and experience using Tensorflow, PyTorch, and Keras.
  • Deep Learning: Have experience in Deep Learning framework (Pytorch, Tensorflow), OpenCV and image processing. Created many projects on object detection, face detection and recognition.
  • Natural Language Processing: Experienced in handling NLP tasks such as entity recognition, word segmentation, POS tagging and NLP toolkits (Scikit-learn, NLTK, numpy).
  • Front-End Developement: Have 2 years of experience using HTML/JavaScript/CSS, and various web frameworks: Bootstrap, SASS, and Jquery to create commercial & electronic websites.
  • Back-End Developement: Using MongoDB, PHP/Laravel, Java for backends, many of my projects utilize Node's MongoDB driver and experience in Node.js.

Certificates

  • Completed DeepLearning.AI
    • Quality and Safety for LLM Applications
    • ChatGPT Prompt Engineering for Developers
    • Building Systems with the ChatGPT API
    • LangChain for LLM Application Development
    • LangChain: Chat with Your Data
    • Finetuning Large Language Models
    • Large Language Models with Semantic Search
    • Building Generative AI Applications with Gradio
    • Evaluating and Debugging Generative AI Models Using Weights and Biases
    • How Diffusion Models Work
    • Quality and Safety for LLM Applications
    • Vector Databases: from Embeddings to Applications
    • Functions, Tools and Agents with LangChain
    • Pair Programming with a Large Language Model
    • Understanding and Applying Text Embeddings
    • How Business Thinkers Can Start Building AI Plugins With Semantic Kernel
    • Practical Data Science on the AWS Cloud (PDS) Specialization
    • Machine Learning Engineering for Production (MLOps) Specialization
    • Generative AI with LLMs
    • TensorFlow Developer Professional Certificate
    • Generative Adversarial Networks (GANs) Specialization
    • TensorFlow: Data and Deployment Specialization
    • AI for Medicine Specialization
    • Natural Language Processing Specialization
    • Deep Learning Specialization
    • Generative AI for Everyone
    • AI for Everyone
    • AI for Good
    • Mathematics for Machine Learning and Data Science Specialization
    • Machine Learning Specialization
  • Completed IBM
    • IBM Data Science Professional Certificate
    • IBM Data Analyst Professional Certificate
    • IBM Applied AI Professional Certificate
    • IBM AI Engineering Professional Certificate
    • IBM IT Project Manager Professional Certificate
  • Completed Google
    • Google Data Analytics Professional Certificate
    • Google Advanced Data Analytics Professional Certificate
    • Google IT Automation with Python Professional Certificate
    • Google Project Management: Professional Certificate

Languages and Tools:

android azure c cplusplus csharp css3 docker dotnet figma firebase flask git heroku html5 java javascript jekyll mongodb opencv pandas photoshop php python pytorch redis scala scikit_learn seaborn selenium sqlite tensorflow

Connect with me:

nqkdeveloper nqkdeveloperai masterofdeception nqkdev

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  1. Facial-Expression-Recognition-with-Keras Facial-Expression-Recognition-with-Keras Public

    Build and train a convolutional neural network (CNN) in Keras from scratch to recognize facial expressions and directly serve the trained model to a web interface and perform real-time facial expre…

    Jupyter Notebook 2

  2. Classify-Traffic-Signs-Using-Deep-Learning-for-Self-Driving-Cars Classify-Traffic-Signs-Using-Deep-Learning-for-Self-Driving-Cars Public

    Train deep learning models known as Convolutional Neural Networks (CNNs) to classify 43 traffic sign images. This project could be practically applied to self-driving cars.

    Jupyter Notebook 3

  3. Face_attendance Face_attendance Public

    A computer vision project that uses the OpenCV library to detect human faces in real-time video streams, extract features from those faces, and recognize them. The project also includes attendance …

    Python 1

  4. Fake-News-Detection-with-Machine-Learning Fake-News-Detection-with-Machine-Learning Public

    In this work, I trained a Long Short Term Memory (LSTM) network to detect fake news from a given news corpus. This project could be practically used by media companies to automatically predict whet…

    Jupyter Notebook 1

  5. Vietnam-License-Plate-Recoginition Vietnam-License-Plate-Recoginition Public

    Recognizing Vietnamese license plates in the parking lot, which was utilized for both 1 and 2 rows of Vietnamese license plates. Using the KNN algorithm and the OpenCV image processing library

    Jupyter Notebook 2 2

  6. ADAS-LDWS-LKAS-FCWS ADAS-LDWS-LKAS-FCWS Public

    Development of a lane detection and tracking solution for self-driving cars. This is an important part of the autopilot system, to ensure the safety and efficiency of the driver and passengers on t…

    Python 5