Data Cleaning for Machine Learning with Python and Pandas

Data cleaning is the process of preparing data for analysis by removing or modifying data that is incorrect, incomplete, irrelevant, duplicated, or improperly formatted.

Advanced 5(20 Ratings) 1945 Students enrolled
Created by Karan Arora Last updated Tue, 27-Oct-2020 Hindi
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Curriculum for this course
3 Lessons 00:41:28 Hours
Capstone Project - Data Cleaning for Machine Learning on Melbourne House Data
3 Lessons 00:41:28 Hours
  • Capstone Project - Data Cleaning for Machine Learning on Melbourne House Data 00:41:28
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Requirements
  • python
  • pandas
  • numpy
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Description

According to IBM Data Analytics you can expect to spend up to 75% of your time cleaning data. Using Python's Pandas library, we'll walk through a range of various data cleaning tasks. Specifically, we will concentrate on perhaps the largest job, missing values, for data cleaning. Data cleansing may be performed interactively with data wrangling tools, or as batch processing through scripting.

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About the instructor
  • 1867 Reviews
  • 60140 Students
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Er Karan Arora is Founder & CEO of Itronix Solutions

He is a Chief Data Scientist and corporate trainer. More than 7 years of experience He Consistently recognized for strong leadership and high service levels impacting project successes, Problem Solver, Data Scientist with outstanding service oriented background in Big Data Analysis, Statistical Modeling,  Database Querying, Information Security Analyst, Network Security Analyst, Operations Reporting, Firmware and Boot Loader Developer, Project Management skills as well as excellent communication skills. 

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    Loved it!
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    Isha Goswami
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    Moch Fauzan Adhima
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Includes:
  • 00:41:28 Hours On demand videos
  • 3 Lessons
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