Data Cleaning & Preprocessing in Python for Machine Learning

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2022-07-27
Learners

No Information
Duration

No Information
Instructor

Ajatshatru Mishra

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4.4

57 Ratings

This course provides learners with the skills and knowledge necessary to clean and preprocess data in Python for Machine Learning. It covers a range of data cleaning techniques, such as imputing missing values, feature scaling, fixing data types issues, and more. Through lectures, quizzes, and Jupyter notebooks, learners will gain the skills to deal with real world raw data and be able to detect and remove outliers, clean and preprocess textual data for NLP, and use the Apply Lambda method for advanced cleaning functions. Click this course to gain the skills and knowledge to clean and preprocess data in Python for Machine Learning.

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Data Cleaning & Preprocessing in Python for Machine Learning

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course provides learners with the skills and knowledge necessary to clean and preprocess data in Python for Machine Learning. It covers a range of data cleaning techniques, such as imputing missing values, feature scaling, fixing data types issues, detecting and dealing with incorrect values, using the Apply Lambda method for advanced cleaning functions, grouping the dataset by a particular column, detecting and removing outliers, and cleaning and preprocessing textual data for NLP. Through lectures, quizzes, and Jupyter notebooks, learners will gain the skills to effectively deal with real world raw data.

Course Syllabus

Introduction and Setup

Detecting Data Quality issues

Data Cleaning and Preprocessing

Data Cleaning and Preprocessing for NLP

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