This project showcases the Classification using various ML Algorithms and Visualization of the data. It includes: Visualizing the data BoxPlot Histogram ScatterPlot Cross Tabulations Training and modeling...

This project uses Python to clean the dataset. Here, the dataset has undergone data cleaning and is prepared for use with machine learning algorithms. It includes: Creating a Data Frame Describing the Data ...

Pattern recognition and neural network assignment Continuous hopefield network architecture algorithm Tasks Discrete hopefield network architecture algorithm Tasks Back propagation network BAM 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...

Just an introduction. Get to learn the fundamentals of data science and using R programming as a tool for data analysis. Data Science is fun!

This comprehensive solution provides answers and explanations for a mock test in Machine Learning Fundamentals (MLF). It offers students a clear understanding of essential ML concepts and techniques, making it an...

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...

In this project, we embark on a journey into the realm of predictive analytics within the insurance sector, focusing on the prediction of Agent Bonus using advanced machine learning techniques. Our primary objective is...

In this project, Our focus is on understanding the underlying factors that influence a consumer's choice to make a purchase, and we explore the predictive accuracy of three prominent machine learning models: Decision...

Discover a collection of 50 powerful and creative prompts designed to help you make the most out of ChatGPT. This PDF includes prompts tailored for various professional and personal use cases like few examples below : ...

The future of urban planning and smart cities is being profoundly shaped by robotics and automation. These technologies are revolutionizing how we design, construct, and manage urban environments. Robotics, such as 3D...

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...

Are you looking for a professionally crafted PowerPoint presentation that covers essential topics in Artificial Intelligence (AI)? Our "Comprehensive AI Presentation" is your ideal solution. Whether you're a student...

Machine Learning Algorithms: 1.Linear Regression 2.Logistic Regression 3.KNN 4.SVM 5.DT 6.RF A machine learning model is a program that can find patterns or make decisions from a previously unseen dataset. For...