Answered: import and show the list of all…

import and show the list of all datasets in tensorflow find full information about 5 of the datasets that looks interesting to you load the first 100 rows of diamond training dataset into a dataframe

Microsoft Visual C#

7th Edition

ISBN:9781337102100

Author:Joyce, Farrell.

Publisher:Joyce, Farrell.

Chapter14: Files And Streams

Section: Chapter Questions

Problem 1CP

See similar textbooks

Similar questions

I've wrote a script to find the top three features for a random forest, but it is not work.please assist to fix the below code. #Import scikit-learn dataset libraryfrom sklearn import datasets#Load datasetiris = datasets.load_iris()# Creating a DataFrame of given iris dataset.import pandas as pdimport numpy as npdata=pd.DataFrame({'sepal length':iris.data[:,0],'sepal width':iris.data[:,1],'petal length':iris.data[:,2],'petal width':iris.data[:,3],'species':iris.target})iris['target_names']print(data.head())# Import train_test_split functionfrom sklearn.model_selection import train_test_splitX=data[['sepal length', 'sepal width', 'petal length', 'petal width']] # Featuresy=data['species'] # Labels# Split dataset into training set and test setX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3)#Import Random Forest Modelfrom sklearn.ensemble import RandomForestClassifier#Create a Gaussian Classifierrf=RandomForestClassifier(n_estimators=100)#Train the model using the…
In R please provide the code and steps for the following Install the dplyr package and load the library. Load the starwars data set Make a new dataframe that only contains the height and species columns from the original data set Remove all of the rows from the new dataframe that have missing values. How many rows of data were lost when the n/a values were removed? It is recommended that you use the na.omit() function for this ex: myData <- mydata %>% na.omit() Create two new dataframes that contain the heights of humans and aliens (not humans and not droids) respectively. Read the help documentation for the par() function – the first example listed is especially relevant. Create 4 images in the same window Top Left : histogram of human heights Top Right: histogram of alien heights Bottom Left: qq plot of human heights Bottom Right: qq plot of alien heights Describe the shape of the distributions and what your observations are about the heights of these two…
I need to add new columns called 'Volume % Change', and "Close % Change" for this dataframe in PYTHON. The data is from yahoo finance, so it's always changable depends on the days entered. the syntax is below: import pandas_datareader as pdrimport datetimeimport pandas as pd # Allow the full width of the data frame to show.pd.set_option('display.max_columns', None)pd.set_option('display.width', 1000) def getStock(stk):# Set and show dates.dt = datetime.date.today()dtPast = dt + datetime.timedelta(days=-5)print(dt)print(dtPast) # Call Yahoo finance to get stock data for the stock provided.df = pdr.get_data_yahoo(stk,start= datetime.datetime(dtPast.year, dtPast.month, dtPast.day),end = datetime.datetime(dt.year, dt.month, dt.day)) # Return a dataframe containing stock data to the calling instruction.return df dfMSFT = getStock("MSFT")print(dfMSFT) -------------------------------------------------------------------------- The formula for Volume % Change is (Current day volume-previous…
V5. min jee wants to combine the sales data from each of the art fairs. switch to the combined sales worksheet and then update the worksheet as follows. in cell A5 enter a formula without using a function that references cell a5 in the Madison worksheet. copy the formula from cell a5 to the range a6:a8 without copying the formatting. in cell b5, enter a formula using the sum function, 3d references, grouped worksheets that totals the values from cell b:5 in the chicago: madison worksheets.
Open a SAS session. Suppose we want to create a variable in the sashelp.pricedata dataset. Use a DATA step to create a copy of the sashelp.pricedata dataset and create a new variable that is the sum of the price1, price2, ..., price 17 variables. Note that when using a SAS function, you can specify all columns between two columns (including start and end) using the word of and a dash. The syntax similar to name_of_function(of columnstart-columnend) What is the value of the sum variable for the fifth observation (MAY98)? Report your answer to one decimal place
You are contracted to complete the data system for Citywide Taxi Company. Now, the information for each taxi is expanded to include: taxi id (such as CTC0001), the driver’s name, the maker of the Car (such as Ford), the model of the car (such as Escape), the Color of the Car (such as Black), the license number (such as HXT 4578), the number of passages the car served in the entire shift (integer type, this field will be left empty for this project). Your C++ program will (with array of class object): Define a class for the car with all members of variable mentioned above as private; Write all necessary class member functions to access those member variables (write or read); Read up to 50 records of data from the keyboard (provide a method to end the input before reaching 50 records) Save all records inputted from step 3 to a disk file called CTC.dat.
I want create matrix multiplaction but my web-site calculate wrong. can you see where the error is, can you fix it.Thank you so much for helping. <script>window.multiply = function() {var matrix1Arr=[], matrix2Arr=[];for (var k=0; k<5; k++) {matrix1Arr[k] = []; p=0;for (var p = 0; p < 5; p++) {matrix1Arr[k][p] = document.getElementById("mat1_"+k+p).value;}}for (var k=0; k<5; k++) {matrix2Arr[k] = []; p=0;for (var p = 0; p < 5; p++) {matrix2Arr[k][p] = document.getElementById("mat2_"+k+p).value;}}var result = multiplyMatrix(matrix1Arr, matrix2Arr);for (var l=0; l<5; l++) {for (var m=0; m<5; m++) {document.getElementById("mat3_"+l+m).value=result[l][m];}}}function multiplyMatrix(m1, m2) { var result = [];for(var j = 0; j < m2.length; j++) { result[j] = []; for(var k = 0; k < m1[0].length; k++) { var sum = 0; for(var i = 0; i < m1.length; i++) { sum += m1[i][k] * m2[j][i]; } result[j].push(sum); } } return result; } </script
Next year, God willing, Arab Open University will organize an international conference. On the sidelines of the conference, many workshops will be held. It is required to help the organizers implement an application to keep track of all workshops and attendees. Requirements: After a quick meeting with the organizers, you got the following information: • Each attendee has a unique passport number, a name and other attributes (add at least 2 attributes from your choice). • The whole data should be stored in one collection such that for each workshop, all attendees associated with it could be retrieved easily and directly. • There is a text file including the names of all available workshops (each workshop is in a separate line)
Next year, God willing, Arab Open University will organize an international conference. On the sidelines of the conference, many workshops will be held. It is required to help the organizers implement an application to keep track of all workshops and attendees. Requirements: After a quick meeting with the organizers, you got the following information:  Each attendee has a unique passport number, a name and other attributes (add at least 2 attributes from your choice).  The whole data should be stored in one collection such that for each workshop, all attendees associated with it could be retrieved easily and directly.  There is a text file including the names of all available workshops (each workshop is in a separate line) ImplementationAfter analysing the given requirements, implement the required application:  with Object Oriented Programming style  following the rules of good programming style (e.g. adding comments, etc.)  using only the material covered in M251 (and its…
. Load the data into a pandas dataframe named data_firstname_df2 where first name is you name.2. Replace the ‘?’ mark in the ‘bare’ column by np.nan and change the type to ‘float’3. Drop the ID column4. Separate the features from the class.5. Split your data into train 80% train and 20% test use the last two digits of your student number for the seed. 6. Using the preprocessing library to define two transformer objects to transform your training data:a. Fill the missing values with the median (hint: checkout SimpleImputer)b. Scale the data (hint: checkout StandardScaler)7. Combine the two transformers into a pipeline name it num_pipe_firstname.8. Create a new Pipeline that has two steps the first is the num_pipe_firstname and the second is an SVM classifier with random state = last two digits of your student number. Name the pipelinepipe_svm_firstname. (make note of the labels)9. Take a screenshot showing your num_pipe_firstname object and add it to your written report.10. Define the…
Below is my code and an image of the prompt. The code runs but according to my professor I cant use built in functions such as in Line 4[clientList.append(fullName)], Line 17[clientList.insert(index, fullName)], & Line 46[combined_data.sort(reverse=True)]. I also cannot use these other functions such as Sort,Max,Min,Append,Insert & Remove. Im suppose to replace the built in function and create my own functions but im not sure how and hopefully someone can solve it for me. My Code(Python) import sys def addClient(clientList, balanceList, fullName, balance): clientList.append(fullName) balanceList.append(balance) def removeClient(clientList, balanceList, fullName): if fullName in clientList: index = clientList.index(fullName) clientList.pop(index) balanceList.pop(index) else: print("Client not found.") def insertClient(clientList, balanceList, fullName, index, balance): if index >= 0 and index <=…
Here is my entire code(average is not working yet). The response I got from the professor is that I have to create a DRY solution replacing the five display_functions with a single get_array function you call five times like common_array = get_array(plant_xml, "COMMON") etc. from urllib.request import urlopenfrom xml.etree.ElementTree import parse def read_data(data_file): plant_url = urlopen(data_file) plant_xml = parse(plant_url) return plant_xml def display_common_items(plant_xml): plant_root = plant_xml.getroot() common_array = [] for item in plant_root.findall("PLANT"): common_array.append(item.find("COMMON").text) return common_array def display_botanical_items(plant_xml): plant_root = plant_xml.getroot() botanical_array = [] for item in plant_root.findall("PLANT"): botanical_array.append(item.find("BOTANICAL").text) return botanical_array def display_zone_items(plant_xml): plant_root = plant_xml.getroot() zone_array = []…