Project5

google play store dataset analysis and model prediction in python

Urban data design is a company which designs digital products and concepts that make neighborhoods more sustainable and healthier place to live and do business in. This project focuses on a creation of a new app for Urban Data Design for one of their business problems. The app will make it easier for organizers to find the best suited open spaces according to their requirements for a potential event. Make it easier for everyday citizens to find and participate in interesting events happening in open spaces around them.  The purpose is to provide a platform for people in the community to get information regarding open spaces located in their area. The people will be able to organize events in these open spaces and list them on the app. People can get information regarding events which are happening in their areas in open spaces. Provide the community to participate in communal activities to build strong ties and belonging to its community. These events can promote physical activities…

How to convert tableau data (multivariate data) into image data ? I know how to apply the machine learning after i get the image data. Please a sample code or example will be much appreciated.

Look at the geospatial visualizations in the CDC COVID Data Tracker website. What types of geospatial visualizations (in light of the types introduced in the Week 4 Lecture) do you see there? Do you think if these are right types for the visualized content? There are several choropleth maps there. Can these maps be replaced by heatmaps? What are the advantages and disadvantages if a choropleth map is used versus a heatmap?

Compare and contrast the usage of a normalized histogram with other methods of data visualization. Is it ethical to use a normalized histogram in the absence of its non-normalized counterpart?

explain step by step how to do spatial data visualization

Pipe data formatting is often accomplished with the help of filtering programs like sed and awk. So, how accurate is this claim?

Explain in your own words the risks of not using data visualization.

What are some data analytics libraries in python? We use matplotlib in our project - what else exists?

Alert - don't use any AI platform to generate answer and don't try to copy others'work otherwise I'll reduce rating.

Explain the primary difference between steganography and digital watermarking, such as when applied to picture data, by providing a condensed explanation of both the methodologies and the purposes for which they are utilized. For example, you could use this to explain the difference between steganography and digital watermarking.

Write a one-page project proposal for big data analytics on the Google Cloud Platform. This project will work as the final test.Be specific on which dataset you are going to work on and what is the purpose of the project. For example, you cannot simply say that you will do analysis on covid data. You should be specific on which aspect of the dataset you will explore and what you want to know about the dataset. Your proposal should be novel. That is, you cannot propose something that has already been done or something available in public domain. Show the source of the data and how you are going to obtain the data.

Computer Science Assume you have a collection of twitter data regarding india-Pakistan T20 World Cup Match, Perform text data analysis and visualization using R for the dataset and explain all the steps involved in the process.

Lab 1: Design ldea Think of an application/system/device that can be developed using machine learning. Explain the features and purpose of such invention. Also, describe the dataset required. ex. Emotion Detector - the aim of this system is to detect the emotions of a person. The purpose of this system is to know if a person is experiencing depression through facial expressions, the look in their eyes and medical history if a person is taking pills that contains serotonin. I would to include the level of serotonin to get the result but it is hard to determine the level of serotonin in our body. Dataset: • data of facial expressions • data of different kinds of emotions • medical history data of a person

Please explain the fundamentals of effective data input fields. Occasionally, it may be necessary to violate these criteria, but under what conditions?

ce_S1_Mangesh / My courses/55 ITSE415_AppDataSci_S1 / Chapter 4- Data Preprocessing / Quiz 2 - 10 June 2021 Quiz navigation When we try to analyze the result-data of the last 10 semesters for the subject 'Programming-1' and if you are asked to find what will be the final score of any new student based on the value of his Quiz 2 marks, then what type of analysis is this? of Finish attempt- O a. Prescriptive Analysis Time left 0:17:27 tion O b. None of these Oc. Predictive Analysis O d. Descriptive Analysis Next page Jump to.. pter 4- Presentation

Before you start with data visualization, you must understand the data. The same data can be presented in multiple ways. Explain the two types of data.

Question Sum Mention the advantages and disadvantages of satellite image data processing using the convolution method

Preprocessing data is critical to data analysis and mining. sklearn is a popular machine learning tool. Please provide the name of the sklearn data preprocessing module.

Forecasting models extrapolate future values of a time series based on its historical values, allowing you to attempt to predict the evolution of a measure. Which mathematical model does Tableau's forecasting tool use?  Exponential Smoothing Simple Moving Average Weighted Moving Average

Describe the fundamental phases of MapReduce processing.