Machine Learning Projects

This project focuses on optimizing machine learning models using Keras Tuner for hyperparameter tuning. Learn how to fine-tune your model's performance by efficiently searching for the best hyperparameters with advanced tuning techniques.

This project provides an introduction to machine learning concepts and techniques. Explore fundamental algorithms, model training, and evaluation methods to understand the basics of machine learning and its applications.

This project explores the fundamentals of neural networks and convolutional neural networks (CNNs) in machine learning. Learn how these models are built, trained, and applied to solve complex problems in image and data analysis.

This project demonstrates how to create custom prediction routines on Google AI Platform. Explore the steps to deploy machine learning models and develop custom prediction logic for scalable and efficient inference.

This project focuses on using machine learning and deep learning techniques for classifying remote sensing data, in collaboration with ISRO. Explore advanced algorithms and methodologies to analyze and interpret satellite imagery for various applications.

This project covers the basics of data visualization and regression techniques in machine learning. Learn how to visualize data effectively and apply regression models to uncover relationships and make predictions.