Remote Data Mining And Management Job In Data Science And Analytics

Machine Learning Python

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Step1: put the xl file in the path
Step2: detect of every columns of xl as char or numeric
Step3: impute null as median value for that numeric columns and most frequently occurring value for char columns
Step4: convert all char data type to one hot encoding.. use only top 5 distinct values (most occurring) for one hot encoding
Step4: calculate spearman correlation for between target and rest of the columns..( supply name of target feature)
Step 5. Display spearman correlation in descending order.
About the recuiter
Member since Sep 13, 2017
Gregory P Benso
from Illinois, United States

Skills & Expertise Required

Python 
Open for hiringApply before - Sep 18, 2024

Work from Anywhere

40 hrs / week

Fixed Type

Remote Job

$9,535.16

Cost

Offer to work on this project closes in 20 days!
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