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Data Cleaning & Preprocessing in Python for Machine Learning

Learners: 57

Instructor: Ajatshatru Mishra

Duration:

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.▼▲

Course Feature Course Overview Course Provider

Go to class

Course Feature

Cost:

Paid

Provider:

Udemy

Certificate:

Paid Certification

Language:

English

Start Date:

2022-07-27

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.