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...

In this project, we delve into the world of sentiment analysis and recommendation prediction by utilizing advanced machine learning techniques. Our primary objective is to predict car recommendations based on customer...

In this project, we embark on a data-driven exploration into the realm of healthcare analytics, aiming to predict health condition labels using advanced machine learning methodologies. Our primary objective is to...

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...

Understanding of Data Science Machine Learning : Data Driven Approach Artificial Intelligence v/s Machine Learning v/s Deep Learning Significance of Data Science in today’s digitally-driven world Applications of...

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...

Full handwritten Artificial intelligence notes. Please feel free to contact me if you want to learn anything.

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...

This Machine Learning Lab Manual contains the solution of important machine learning algorithms. It covers the solutions ranging from Linear Regression and logistic regression to various types of clustering algorithms....

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...

For those who have never used Python before, this fast start guide offers a starting point for exploring the world of machine and deep learning. It presents fundamental Python fundamentals, including mathematical...

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...