The K-mean Clustering Analysis

Acccurate answer only

Assume you are giving a dataset that is based on user surveys. You notice that many surveys have missing fields. You also notice that some surveys have fields on a scale of 1 to 5 while others are on a scale of 1 to 10. The survey has mixed information using metric measurements and the imperial system. There are some different fields depending on the country, but they all relate to the location of the participant. You also notice that some values just don't make sense. What analysis would you do on the data set to come up with a data cleaning plan? What are some normalization and cleaning tasks you could do based on the information provided in this description? Edit View Insert Format Tools Table 12pt v Paragraph BIU Αν 2 T² : PAYTO THE MARCELLA M. SERRANO PEDRO GOMEZ 3610 COUNTRY TRAILS PH. 619 S BONITA, CA 91902 91902 Ale 2512 12759 Eraser ser made in ape g GRIP 12 31 Super Polymer Lead Pentel

Assume you are giving a dataset that is based on user surveys. You notice that many surveys have missing fields. You also notice that some surveys have fields on a scale of 1 to 5 while others are on a scale of 1 to 10. The survey has mixed information using metric measurements and the imperial system. There are some different fields depending on the country, but they all relate to the location of the participant.  You also notice that some values just don’t make sense. What analysis would you do on the data set to come up with a data cleaning plan? What are some normalization and cleaning tasks you could do based on the information provided in this description?

Analytical data is the fundamental distinction between BI and adalytic data.

Advanced DataBase

Which of the studied data structures in this course would be the most appropriate choice for the following tasks? And Why? a. An Exam Center needs to maintain a database of 3000 students' IDs who registered in a professional certification course. The goal is to find rapidly whether or not a given ID is in the database. Hence, the speed of response is very important; efficient use of memory is not important. No ordering information is required among the identification numbers. b. A transposition table is a cache of previously seen positions in a game tree generated by a computer game playing program. If a position recurs via a different sequence of moves, the value of the position is retrieved from the table, avoiding re-searching the game tree below that position.

On a time series dataset, what cross-validation approach would you use?

What is the difference between a DataReader and a DataSet, and how do they differ?

Machine learning Data Set Vegetation classification Dataset Stream false tous вже false Slope false tome tone steep modetabe steep steep Flat Elevation high low Vegetation Chapparal riparian medium medium high steep highest steep high First Calculate total entropy for the given dataset riparian chapparal Conifor Conifer chapparal

What is metadata, exactly? What is the definition of metadata for a result set? When does metadata from a result set come in handy?

Show me how the structure of the DataSet works.

Large volumes of ungrouped data were often organized into intervals of our choice in the past. We are faced with colossal and formidable difficulties, just as in the real world. Do the advantages and disadvantages of working in a group outweigh working alone?

Do you have any recommendations for data flow recording methods?

Apply the following seven visualization methods to explore real-world data sets from UCI public data repository (https://archive.ics.uci.edu/ml/index.php). You may choose any data set you like. For the visualization method, please discuss the potential patterns of the data set based on the visualization functions. 1. Histogram 2. Scatter plot 3. Line plot 4. Pie chart 5. Box plot 6. Correlation matrix plot 7. Word cloud What you need to include in your submission: • Your Python code. Use Matplotlib (and/or Seaborn) is required! • Screenshots of your Python code • Description (written in PDF file) of your findings by applying each visualization method.

PLEASE SHOW ALL WORK AND COMMENT ALL CODE The Objective of this coding problem is the prediction of a proposed metro ectension construction project based on the people'es opinion. There are three alternatives to choose they are as follows: Eglington-Pickering Line Airport-Vaughn Line Airposrt-Hamilton Line Each record is represented by 16 features. Task-1: Metro-Ext.xlsx is the training and test dataset; you will considerr 80% of the data for training and 20% for the test. Build (1) Logistic regression (2) KNN and (3) Naive Bayes model to predict on the test data set and compute the confusion matrix for each model and compare the result.  deliverables = coding files (.py and .ipynb), and a discussions of confusion matrix for both models   metro-EXT.xlsx (Please place chart in EXCEL) Feasibility and Constructability Slopes and Gradients Urban Realm Geology and Soil Stability Land Acquisition Work Opportunities Economy in Movement of People Revenue Generation Access to the Social,…

What is the specific distinction between a DataReader and a DataSet, and how does this distinction manifest itself?

Machine learning Data Set Vegetation classification Dataset Stream false tous true false false true Slope tous Steep modelabe steep steep Flat Elevation high low medium Vegetation Chapparal riparian riparian Chapparal medium high Sheep highest steep high first calculate total entropy for the given dataset Conifer Conifer chapparal

How do indexing strategies differ for querying data in JSON arrays compared to JSON objects in databases?

What exactly is the difference between a DataReader and a DataSet, as well as the specifics of how this distinction manifests itself?

Explain Data Lake Deletion Pattern.

We would appreciate it if you could provide us an overview of the fundamentals that underpin effective data input fields. There is a possibility that there may be situations in which it will be necessary to deviate from these criteria; however, under what circumstances should this occur?

Suppose we have a relational database with five tables.table                    key AttributesS(sid, A)             SidT(tid, B)              TidU(uid, C)             UidR(sid, tid, D)       sid, tidQ(tid, uid, E)        tid, uidHere R implements a many-to-many relationship between the entities implemented with tables S and T, and Q implements a many-to-many relationship between the entities implemented with tables T and U.D. Suppose you replaced SELECT with SELECT DISTINCT in your queries from parts (a) and Could one of these modified queries return more records than the other? If so, which one? Justify your answer.  E. Consider again your query from part (a). If pair sid, uid is returned by this query then there must exist at least one “path” that goes from from table S to table T (via relation R) and then from table T to table U (via relation Q).  Note that there can be many such paths for a given pair sid, uid. Write an SQL query that returns records of the form tid, total where…