Masters/Postgraduate Data Analyst resources
Masters/Postgraduate Data Analyst resources
Uncover the fundamentals of data engineering with our comprehensive study notes. Whether you're a working professional seeking a theoretical foundation, a beginner looking to dive into the world of data engineering, or...
Data Mining lab manual, designed for the M.Sc. Computer Science program at Bharathidasan University, is a focused resource centered on practical implementation using the Weka tool. This manual is specifically crafted to...
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 guide helps you make a choice for statistical analysis to be performed on your research data. It focuses on nine key areas which include the following; Use Cases, Industry Practical Examples, Data Preprocessing, ...
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...
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...
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...