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dpnnmlai/README.md

💫 About Me:

As a tech enthusiast, problem-solving has always been a part of my life. Since my childhood, I have spent countless hours tinkering with my computer and coding games that others had created. With a passion for continuous learning and an insatiable desire to apply my newfound knowledge to everyday life, the tech industry is a natural fit for me.

One of the most exciting aspects of the tech industry is the ability to take something that already exists and make it better. Innovation and creativity are at the heart of every successful tech project, and I take pride in contributing to that process. Whether it's developing new software or finding ways to improve existing systems, I'm always eager to tackle the next challenge.

My passion for technology extends beyond the workplace, and I'm always looking for ways to stay up-to-date with the latest advancements. Whether it's attending industry conferences or participating in online communities, I'm constantly seeking new opportunities to learn and grow as a professional.

In conclusion, my love for technology has driven my career and my personal life. I'm excited about the future of the tech industry and the endless possibilities for innovation and improvement.

💻 Tech Stack:

HTML5 Solidity JavaScript AWS Azure CSS3 Python PHP Firebase Anaconda Bootstrap Flask NodeJS NPM React React Native React Router SASS Apache Nginx MySQL Canva Figma Pandas NumPy Keras scikit-learn TensorFlow SciPy PyTorch Plotly ElasticSearch Docker Notion

✍️ Random Dev Quote

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  1. ML_Network_detector_wireshark_data ML_Network_detector_wireshark_data Public

    Machine learning solution to detect malicious attacks from network activity captured by Wireshark

    Python

  2. Network_IDS_ML Network_IDS_ML Public

    Intrusion_Detection_using_decision_tree, DNNs have quickly become an essential part of network intrusion systems. A DNN can help identify attacks and predict what will happen next on the network.

    Jupyter Notebook

  3. Anomaly-Detection-in-Keras Anomaly-Detection-in-Keras Public

    Jupyter Notebook

  4. Detection_Model_Logistic_for_payment Detection_Model_Logistic_for_payment Public

    Jupyter Notebook

  5. Detection_with_4_ML_Models Detection_with_4_ML_Models Public

    Jupyter Notebook

  6. Bug_Reporting Bug_Reporting Public

    Inference for Software Engineering Bug Reporting

    Jupyter Notebook