This hand-written document implements the XOR gate using Neural Network. It shows all calculations step-by-step.

This hand-written well-organized document teaches the K-Nearest Neighbour (KNN) Algorithm with Example.

This hand-written well-organized document explains clustering and K-Means algorithms with multiple examples of 1-D data (set of values) and 2-D data (table of values).

This hand-written well-organized document teaches the decision tree by example. It takes a small dataset and generates decision tree by calculating entropy, information gain and gain. The algorithm is implmeneted...

This hand-written well-organized document teaches the decision tree by example. It takes a small dataset and generates decision tree by calculating entropy, information gain and gain. The algorithm is implmeneted...

This hand-written document explains Back Propagation in Multi Layer Perceptron using an example neural network.

Kidney Stone Detection Using CNN and Autokeras Millions globally suffer from kidney stones, emphasizing the need for early identification. Convolutional neural networks (CNNs) have shown promise in medical imaging,...

Project Brief: Congestion Detection System for Road and Highways Using Pretrained CNN and Object Detection Overview: The Congestion Detection System is a Python-based solution designed to monitor and detect traffic...

The project involves designing and implementing a deep learning-based brain tumor detection system using MRI images. The goal is to determine whether a person has a brain tumor by analyzing their brain MRI image. This...

Product Description: Advanced Skin Cancer Detection System Introducing our groundbreaking solution for early skin cancer detection through the power of deep learning and innovative technology. Our system employs...

AI is the simulation of human intelligence in machines, allowing them to learn from data, make decisions, and perform tasks like humans. It encompasses technologies such as machine learning, natural language...

This notes describes the behaviour of multi-agents in an environment and their communial and competitve interactions among themselves. In reinforcement learning, an agent is placed in an environment to autonomously...