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

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.

Assessment 5: VisualRank using image similarity Introduction This assignment is based on the well-known PageRank algorithm developed by Google to help in ranking webpages. Although much has changed with Google’s...

Assignment 4: Principal Component Analysis This assignment asks you to implement, a principal component analysis (PCA) using a singular value decomposition on a real data set. A real dataset We now ask that you...

Assessment 3: Microchip voltage You are now asked to write some code of your own that will achieve the goals laid out below. The purpose of this exercise is two-fold. It will a) test your skills in designing and...

This video by Dr. Smriti H Bhandari explains solution to Machine Learning Regression Problem. Given problem with actual and predicted output. Compute the error.

This video by Dr. Smriti H Bhandari explains how to compute cost function in regression for given parameter values.

This video by Dr. Smriti H Bhandari explains solution to Machine Learning Regression Problem. Given problem with some questions based on the data, this video provides detailed solution with explanation. Consider the...

Machine learning is a dynamic and evolving field that empowers computers to learn and adapt, making it a transformative technology with widespread use and potential to solve complex problems across various domains. Its...

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...

In this project, we delve into the realm of sentiment analysis using machine learning techniques on the IMDb dataset. Our primary goal is to predict sentiment polarity—positive or negative—of movie reviews, employing...

🚀 Launch Your Data Science Journey: Introducing the "Data Science Cheat Sheet - Bundle," your ultimate shortcut to mastering data science! 🔍 All-In-One Resource. 🎯 Tailored for all Data Science Students and...

In this project, we embark on a data-driven exploration into the world of insurance cost prediction using advanced machine learning techniques. Our primary objective is to harness the power of three distinct regression...

In this project, we delve into the realm of road safety analytics, aiming to predict the number of casualties in road accidents using advanced machine learning techniques. Our primary objective is to harness the power...