Data Analyst resources
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...
Insights for the Marketing Team in the Food & Beverage Industry:¶ Demographic Insights:- a. Gender Preference: Analyze the survey data to determine whether there is a gender preference for energy drinks. This...
Hy, If you want to make an Attractive and Appealing Dashboard (Excel, Power BI, Tableau) then you are at right place. This format directly help you to make dashboard with your own data very easily. Morever i will help...
This Production Report helps in calculating the Target, Achieved and Deficit along with highlights and charts for each person. The Entire report is based on Excel Formulas and can be created easily. Details: Any value...
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...
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!
These documents contain selected solved exercises from the book "Introductory Statistics by Openstax College". Solution is provided from chapter 1 to chapter 13 and the details of the exercises is provided in...
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, ...
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...
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...