Pinned Repositories
adityagadkari.github.io
adu3010
Color-Pattern-Recognition-Software
Automated MATLAB software for recognizing color patterns in images, inspired by Lego's Life of George game, with a success rate of up to 91%.
Conway-s-Game-of-Life
Genetic-Algorithm-Based-Evolution-of-Hippocampal-Memory-Models-with-Hopfield-Networks
We explore the use of Genetic Algorithms (GAs) to evolve Hippocampal Memory Circuits modelled using Hopfield Networks. The hippocampus, a critical brain region for memory formation and retrieval, serves as inspiration for our computational model.
Machine-Unlearning
This project demonstrates the concept of machine unlearning using the MNIST handwritten digits dataset. The goal is to train a neural network to recognize digits, then selectively "unlearn" a specific digit, and finally retrain the model to recover its performance.
mnist
Power-BI
Visualizing Employee Data using Power BI
Red-WIne-Quality-Prediction
Getting into the 🍷 spirits 😉 with my latest machine learning project predicting red wine quality! 🍇 I compared three different regression models - Linear Regression 📏, Decision Tree 🌳, and Random Forest 🌲 to see which performed best at predicting wine quality on a dataset of red wines 🍷.
Restaurant-Data-Analysis
Here, I have created a project of Restaurant Data Analysis
adu3010's Repositories
adu3010/Power-BI
Visualizing Employee Data using Power BI
adu3010/adityagadkari.github.io
adu3010/adu3010
adu3010/Color-Pattern-Recognition-Software
Automated MATLAB software for recognizing color patterns in images, inspired by Lego's Life of George game, with a success rate of up to 91%.
adu3010/Conway-s-Game-of-Life
adu3010/Genetic-Algorithm-Based-Evolution-of-Hippocampal-Memory-Models-with-Hopfield-Networks
We explore the use of Genetic Algorithms (GAs) to evolve Hippocampal Memory Circuits modelled using Hopfield Networks. The hippocampus, a critical brain region for memory formation and retrieval, serves as inspiration for our computational model.
adu3010/Machine-Unlearning
This project demonstrates the concept of machine unlearning using the MNIST handwritten digits dataset. The goal is to train a neural network to recognize digits, then selectively "unlearn" a specific digit, and finally retrain the model to recover its performance.
adu3010/mnist
adu3010/Red-WIne-Quality-Prediction
Getting into the 🍷 spirits 😉 with my latest machine learning project predicting red wine quality! 🍇 I compared three different regression models - Linear Regression 📏, Decision Tree 🌳, and Random Forest 🌲 to see which performed best at predicting wine quality on a dataset of red wines 🍷.
adu3010/Restaurant-Data-Analysis
Here, I have created a project of Restaurant Data Analysis
adu3010/mnist-
adu3010/PowerBI
adu3010/SQL-WSDA-Music-
This is a project done on WSDA Music Datasets using SQL basic commands.
adu3010/sussex-dns-challenge