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random-forest-classifier

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This is a text classification project based on the "Category News" feature of Toutiao. Initially, we used the random forest algorithm, then upgraded to FastText, and finally built a new text classification model using a BERT pre-trained model with an added fully connected layer.There may still contain several bugs—let's work together to fix them.

  • Updated Jun 4, 2026
  • Python

ExeRay AI detects malicious Windows executables using ML. Analyzes entropy, imports, and metadata for rapid classification, aiding incident response. Built with Python and scikit-learn.

  • Updated Mar 30, 2026
  • Python
AgriSens

AI Powered Smart Farming Assistant uses advanced technology, including machine learning and CNNs, to provide farmers with crop recommendations, disease identification, weather forecasts, fertilizer recommendation, and crop management guidance through a user-friendly web app.

  • Updated Mar 12, 2026
  • Jupyter Notebook

Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.

  • Updated May 3, 2022
  • Jupyter Notebook
XYZ-Bank-Customer-Churn-Predictor

Modular full-stack ML project leveraging Groq API, Streamlit, Supabase, JSON, SciPy, SciKit-Learn, Plotly & EmailJS, alongside libraries - NumPy, Pandas, Utils, OS, Base64, Re, Pillow & DateTime.

  • Updated Mar 2, 2026
  • Jupyter Notebook

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