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AcousticExtinguisherFire employs machine learning to predict fire status based on acoustic signals. With features like SIZE, FUEL, DISTANCE, DESIBEL, AIRFLOW, and FREQUENCY, this binary classification project enhances fire safety measures.

Home Page: https://towardsmachinelearning.org/

License: Apache License 2.0

Jupyter Notebook 100.00%
binary-classification gridsearchcv sklearn-pipeline

acousticextinguisherfire's Introduction


: 👨‍💻 About Me :

Hi there 👋

I am a seasoned Data Scientist from India. Founder of TowardsMachineLearning.Org

  • 🧑‍🔬 My most recent research projects: Patents and Publications
  • 🔭 I’m currently working on: LLM Projects
  • 🌱 I’m currently trying to deepen my expertise in : MLOps Projects 🔥 Recently started my Leetcode Journey: My Leetcode Profile
  • 💬 Ask me about : Data Science, Machine Learning, NLP, Deep Learning, Computer Vision, LLMs, MLOps
  • 📫 How to reach me: Linkedin Badge
  • ⚡ Fun fact: 'Why did the data scientist break up with the statistician? Because they couldn't find a common mean!' 😄"

🛠️: Languages and Tools :

anaconda  python  R  rstudio  visualstudio  vscode  numpy  opencv  pandas  tensorflow  pytorch  selenium  sqlalchemy  MySQL  neo4j  Git  gitlab  putty  pytest  linux  ubuntu  azure  AWS  docker  kaggle 

🔥: My Leetcode and GitHub Stats :

Leetcode Stats:

Leetcode Stats

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GitHub Streak

Top Langs


✍️: Blog Posts :

Posts on Analytics Vidhya(3M+ community):

Posts on TowardsMachineLearning.Org:

Posts on Medium:

Posts on YouTube:

Measuring the accuracy of the detection algorithm using IOU
Sep 19, 2021
You Only Look Once Algorithm and it's history
Sep 19, 2021
Need of region proportion methods
Sep 19, 2021
Dataset, bounding box regressor, image pyramid
Sep 19, 2021
What we actually need for detection?
Sep 19, 2021

acousticextinguisherfire's People

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