This document contains selected solved exercises from the book "Statistical Methods For The Social Sciences (5th Edition) by Alan Agresti" from chapter 3 to chapter 7. All the steps are calculated and explained in...
In this pdf, I will be providing the solution of past assignment of Statistics subject, Bachelor Program, of Lancaster University. It includes the solutions to the following questions. Coursework Questions CW 18.8....
In this pdf, I will be providing the handwritten solutions to past Quiz questions of MATH-104, First year, Lancaster University. It includes the following questions. QZ 19.7. Identify the critical t: An independent...
The pdf includes handwritten solutions to the following questions. CW 19.10. CPI: Table 1 gives the consumer price index (CPI) for the UK, US, France, and Germany from 2009 to 2018. CPI is a measure of the change in...
"Designed for both university students and professionals, this user-friendly Excel Loan Amortization Table (month wise calculation) empowers you to effortlessly manage loan repayments. Stay organized with a clear...
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...
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...
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...
These are 8 solved problems of Probability, Normal Distribution and Hypothesis testing topics. You can use these solutions to understand how to solve different problems relating to these topics. All the steps are...
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...
The following documents contain the graduate and postgraduate level problems related to Descriptive Statistics, Hypothesis Testing and Confidence Intervals, Regression Analysis and Inference in Regression and...
This product cointains the solved worksheets including Descriptive Statistics, Probability, Estimation and Hypothesis Testing. The solutions are provided in detail with explanation of the steps so students will be able...