python What isthe code syntax for Converting your target variable in the dataset into a binary variable using >= mean thresholding , testing data is 30%.
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What isthe code syntax for Converting your target variable in the dataset into a binary variable using >= mean thresholding , testing data is 30%.
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- Python code using pandas to find the users with the highest aggregate scores (over all their posts) for the whole dataset. You should restrict your results to only those whose aggregated score is above 10,000 points, in descending order. Code should generate a dictionary of the form {author:aggregated_scores ... }.Create normalization 1NF using Javascript. Show your programming code.Range controls and null value controls may improve or hinder data integrity.
- Python Panda DataFrme Use this file: names.txt Write a Python script that reads this file into a dataframe. Find the max and min age. Using the loc indexing operator, extract rows 2 & 3 ## Screenshot of names.txt attachedAp is of the Apple type, and the only values it may be assigned (or contain) are those described by the enumeration. This, for example, ap = Apple.RedDel; Create codeFollow these instructions:● Create a python program called taskXML.py. Write the code to:○ Read in the movie.xml file.○ Read about the iter() and itertext() function here. Use the iter()function to list all the child tags of the movie element.○ Use the itertext() function to print out the movie descriptions.○ Find the number of movies that are favourites and the number ofmovies that are not.
- new code can only be entered betwen grey blocks (ie, 17 - 19).Assume that you have a product code that has the following format: XXXXNNN Where X is a character and N is a digit. Notice that the length of the character part is not fixed, it may range from 2 to 4 characters, while the length of the second part may range from 2 to 3 digits but the first digit from the left is always 0 (zero). Write a PL/SQL program to separate the code into its two parts as shown in the following example: if the input is ABC031, the output should be: Product Name is: ABC Serial Number is: 031Assume that you have a product code that has the following format: XXXXNNN Where X is a character and N is a digit. Notice that the length of the character part is not fixed, it may range from 2 to 4 characters, while the length of the second part may range from 2 to 3 digits but the first digit from the left is always 0 (zero). Write a PL/SQL program to separate the code into its two parts as shown in the following example: if the input is ABC031, the output should be: Product Name is: ABC Serial Number is: 031 Hints: Use the following functions if needed: instr( string1, string2 [, start_position [, nth_appearance ] ] ) substr( string, start_position, [ length ] ) length( string ) DBMS_OUTPUT.PUT_LINE( )
- # Create Custom Transformer Create a custom transformer, just as we did in the lecture video entitled "Custom Transformers", that performs two computations: 1. Adds an attribute to the end of the numerical data (i.e. new last column) that is equal to $\frac{x_1^3}{x_5}$ for each observation. In other words, for each instance, you will cube the $x_1$ column and then divide by the $x_5$ column. 2. Drops the entire $x_4$ feature column if the passed function argument `drop_x4` is `True` and doesn't drop the column if `drop_x4` is `False`. (See further instructions below.) You must name your custom transformer class `Assignment4Transformer`. Your class should include an input parameter called `drop_x4` with a default value of `True` that deletes the $x_4$ feature column when its value is `True`, but preserves the $x_4$ feature column when you pass a value of `False`. This transformer will be used in a pipeline. In that pipeline, an imputer will be run *before* this transformer. Keep…File read write and string manipulation data1.txt(down below) 4,5-t 2,4-d 20-p7int 2D 2nd 2 1080 &c 10-p7int 10th 11-p7int 12-p7int 16-p7int 18-p7int 1st 2,4,5-t 2,4-d 20-p7int 2D 2nd 30-30 3D 3-D 3M 3rd 48-p7int 4-D 4GL 4H 4th 5-p7int 5-T 5th 6-p7int 6th 7-p7int 7th 8-p7int 8th 9-p7int 9th @ @' @- @&M @&P @. @.@.@. @.B. @.B.@. @.C. @.D. @.D.C. @.F. @.F.@.M. @.G. @.H. @.I. @.I.@. @.I.D. @.L. @.L.P. @.M. @.M.@. @.M.D.G. @.N. @.p. @.r. @.R.C.S. @.U. @.U.C. @.V. @.w. @.W.O.L. @/C @/F j54rs54y54d J54rs54yit54 j54rs54yit54s J54rs54ym@n j54rs54ys j54rs54y's J54rs54yvill54 j54rt J54rubb@@l J54rubb@l J54rus@l54m J54rus@l54mit54 j54rvi@ j54rvin j54rvin@ j54rvin54 J54rvis J54rk J54S J54sh J54sh54r J54smin54 j54sp54r J54sp54rs54n J54ss J54ss@ J54ss@b54ll j54ss@k5454d J54ss@lin J54ss@lyn j54ss@my j54ss@mi54s J54ss@myn J54ss@min54 j54ss@nt J54ss54 J54ss54@n j54ss54d J54ss5454 J54ss54y J54ss54lyn J54ss54lt7n J54ss54n j54ss54s J54ssi J54ssy J54ssic@ J54ssi54 kikkl54 kikkl54d kikkl54s…Please modify the code below for "Current Date" ********************************************************************** from pandas_datareader import data as pdrimport yfinance as yfin # Work around until# pandas_datareader is fixed.import datetimeimport pandas as pdimport matplotlib.pyplot as pltimport numpy as np# Show all columns.pd.set_option('display.max_columns', None)pd.set_option('display.width', 1000)def getStock(stk, numDays):print(stk)# Only gets up until day before during# trading hoursdt = datetime.date.today()# For some reason, must add 1 day to get current stock prices# during trade hours. (Prices are about 15 min behind actual prices.)dtNow = dt + datetime.timedelta(days=1)dtNowStr = dtNow.strftime("%Y-%m-%d")dtPast = dt + datetime.timedelta(days=-numDays)dtPastStr = dtPast.strftime("%Y-%m-%d")yfin.pdr_override()df = pdr.get_data_yahoo(stk, start=dtPastStr, end=dtNowStr)return df################################################################### CONFIGURATION…