machine-image

A collection of Machine Learning Lab programs implemented using Python, covering data analysis, visualization, supervised and unsupervised learning. Includes experiments on EDA, PCA, Find-S, KNN, regression, decision trees, Naive Bayes, and K-Means clustering. Uses libraries such as NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn with various

This can be trained on Roblox, Super Mario Bros (NES), Minecraft, and whatever other games that are consistent.

A tool for generating diverse synthetic training images using Bing Image Creator to facilitate the training of AI/ML image models.

Algorithmic forecasting of energy consumption

AI-based student attendance and attention monitoring system using face recognition, head pose estimation, and eye aspect ratio analysis.

Research-oriented MRI denoising framework comparing classical filtering, wavelet methods, Total Variation, BM3D, and deep neural networks, with a proposed noise-adaptive Wavelet–TV residual learning approach for preserving anatomical structures.

This repository is a practical, hands-on collection of classic machine learning algorithms implemented, explained, and benchmarked using Python. It provides modular code, Jupyter notebooks, and a step-by-step workflow covering everything from simple linear models to neural networks.

hot wheels classification with transfer learning

Exam OOT