pca

A RTI library for creating and visualizing Reflectance Transformation Imaging

Analyze school districts' electric school bus adoption using unsupervised learning to find patterns in socio-economic and environmental factors.

📞 Analyze semantic patterns in sales calls using machine learning to improve insights and decision-making.

📊 Explore A/B testing and key statistics concepts with an interactive Jupyter Notebook for hands-on learning and practical data analysis.

🥦 Analyze diabetes risk using machine learning and classify vegetable images with CNN in this comprehensive two-part workflow.

🚀 Optimize TensorFlow models with the Nested Learning Optimizer for improved performance, faster convergence, and enhanced training stability.

🔍 Detect fraud in application data using machine learning and data visualization to uncover anomalies and enhance digital integrity.

Python toolkit for analysis of industrial process data; multivariate analysis, designed experiments, process monitoring.

This Folder consists of Python Programming for Machine Learning Projects, which was used in real time LAB performance.

PCA/Eigenface face-recognition project (implemented in MATLAB; 2014) preserved alongside a modern 2026 Python reproduction and engineering update.

Fast, Accurate and Memory-Efficient Principal Component Analysis All in One For Large-scale Dataset

Pretrain video encoders efficiently without collapse-prone heuristics using LeVJEPA's streamlined single-encoder objective.

Forecast solar power with reduced sets of lagged production data to balance model accuracy and footprint in MATLAB.

Regression models predicting household appliance energy use from sensor and weather data; Extra Trees performed best.

Compress and run LLM KV caches with KVTC to cut memory use 6-9x and support 2M+ token context on one GPU

🌍 Analyze the Human Development Index across 180+ countries using R, combining data science techniques with economic theory for informed insights.

🥦 Analyze diabetes risk with machine learning and classify vegetable images using CNN in this comprehensive notebook. Explore health indicators and image datasets.

this are a different 6 Algorithm with different type of data that is good for practice

Análisis exploratorio y clustering no supervisado (K-Means, jerárquico, PCA) sobre datos edafoclimáticos para identificar ecorregiones funcionales y recomendar cultivos óptimos por perfil de suelo y clima.