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с помоща на tf-idf се определят важните думи, така че ако се научат да може поне 80% от текста да бъде разбран
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да се използва API-то на Google Translate да се преведат тези думи и да се запазват в текстов файл
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да може да се прави quizz с тези думи, като може да се използва levenshtein distance за оценяване на това колко близо си до превода (0-100%)
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quizz-а да може да работи и в двете посоки на превод. Например:
- да имаме quizz за EN -> BG
- да имеме quizz за BG -> EN
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Find the middle element of a linked list. Can you do the work with one pass over the list? See here.
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Reverse a linked list. Can you reverse the list with O(1) space complexity? See here.
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Given a singly linked list, determine if it is a palindrome. Could you do it in O(n) time and O(1) space? See here.
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Given a linked list, determine if it has a cycle in it. Can you solve it using O(1) memory? See here.
We can make this file beautiful and searchable if this error is corrected: No commas found in this CSV file in line 0.
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| "age";"job";"marital";"education";"default";"balance";"housing";"loan";"contact";"day";"month";"duration";"campaign";"pdays";"previous";"poutcome";"y" | |
| 30;"unemployed";"married";"primary";"no";1787;"no";"no";"cellular";19;"oct";79;1;-1;0;"unknown";"no" | |
| 33;"services";"married";"secondary";"no";4789;"yes";"yes";"cellular";11;"may";220;1;339;4;"failure";"no" | |
| 35;"management";"single";"tertiary";"no";1350;"yes";"no";"cellular";16;"apr";185;1;330;1;"failure";"no" | |
| 30;"management";"married";"tertiary";"no";1476;"yes";"yes";"unknown";3;"jun";199;4;-1;0;"unknown";"no" | |
| 59;"blue-collar";"married";"secondary";"no";0;"yes";"no";"unknown";5;"may";226;1;-1;0;"unknown";"no" | |
| 35;"management";"single";"tertiary";"no";747;"no";"no";"cellular";23;"feb";141;2;176;3;"failure";"no" | |
| 36;"self-employed";"married";"tertiary";"no";307;"yes";"no";"cellular";14;"may";341;1;330;2;"other";"no" | |
| 39;"technician";"married";"secondary";"no";147;"yes";"no";"cellular";6;"may";151;2;-1;0;"unknown";"no" | |
| 41;"entrepreneur";"married";"tertiary";"no";221;" |
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| import numpy as np | |
| import pandas as pd | |
| from nose.tools import * | |
| from sklearn.linear_model import LogisticRegression | |
| from sklearn.preprocessing import PolynomialFeatures | |
| bank_data = pd.read_csv('./data/bank.csv', sep=";") | |
| bank_features = bank_data.drop('y', axis=1) |
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You can take a full advantage of the
ATMOSPHEREframework by using its distributed architecture.- You may execute the test remotely by changing the
IPon the@Serverannotation or create/modify theconfig.propertiesfile. To connect remoteAgentto aServeruserunAgentcommand with CLI arguments. - You may use the
Serverand theAgenton separate machines. - You can connect multiple agents to the
Server. EachAgentcan handle up to 14 devices.
- You may execute the test remotely by changing the
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Use the
atmosphere-ui-viewerto dump the UI elements. Also you may find its remote control options useful.