Garry Singh's Projects
Development and training of advanced machine learning neural models designed to simulate worm cognition in response to the unique stressors of space, such as increased radiation and altered gravity and understand impact on worm behavior and cognition.
Implementation of a common real-world application of Large Language Models (LLM) & Generative AI. Powered by Python and the OpenAI’s GPT-3 model, this app embeds AI generated summaries into blogs.
Here I share some of the most exciting blog and research content on Data Science & Data Engineering. Follow along to learn about my journey so far and some of the exciting new ideas on transformative IT solutions, innovation, and more.
The quality of your data is crucial for the success of a machine learning models and data integration. This is a data preprocessing/prep utility that performs data checks and preprocessing steps essential to ensure the data is suitable and that the models can make accurate predictions or classifications.
Repository contains Jupiter notebooks covering work on advanced machine learning algorithms covering artificial neural networks using TensorFlow.
These notebooks guide cover the entire process, of building, training, and evaluating classification models effectively and includes advanced model fine tuning techniques.
This repository is a collection of machine learning projects that leverage the power of neural networks. From predicting room occupancy using sensor data to tackling various real-world challenges, each project showcases a blend of data exploration, model design, and performance evaluation.
Supervised Learning Concepts in Machine Learning: A Simplified Guide with Practical Examples, including the Training of Linear and Non-linear Regression Models.
This collection features practical implementations of use cases, guiding you through the process of building, training, and evaluating regression models and advanced model fine tuning techniques.