A from-scratch Python perceptron project that trains and tests simple neural networks for logic gates such as AND, OR, and NOR. Includes separate training and testing scripts, along with saved trained models using pickle
A foundational AI/ML data preprocessing pipeline in Python to simulate, filter, and log sensor data.
A highly efficient data preprocessing pipeline using Python and Pandas to clean, filter (via boolean indexing), and format raw sensor data for ML models.
This project is a Markov Chain-based text generator implemented in Python. It processes a given text file to build a probabilistic model of word sequences, allowing it to generate new, coherent text that mimics the style and structure of the input.
Machine learning implementations from scratch.
Beginner-friendly Python project to perform statistical analysis (mean, median, outliers, correlation, and data scaling) using NumPy.
🏠 House Price Prediction Project This project uses machine learning techniques to predict house prices based on key features like location, area, number of bedrooms, and amenities. By analyzing historical housing data, the model provides accurate price estimates to help buyers, sellers
This project demonstrates core Linear Algebra concepts using Numpy, including vector operations, matrix transformations, matrix transformations, determinant, inverse, eigenvalues, and basic understanding of column space. It is designed for beginners aiming to build a strong foundation for AI/ML and MLOps.
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