Data Preprocessing and Exploratory Data Analysis (EDA)

Master Data Cleaning, Feature Engineering, and Visualization Techniques for Machine Learning Success Using UCI Datasets

4.48 (22 reviews)

Udemy

platform

English

language

Data Science

category

instructor

Data Preprocessing and Exploratory Data Analysis (EDA)

1 095

students

35 mins

content

Apr 2025

last update

FREE

regular price

What you will learn

Understand the key steps in data preprocessing, including handling missing data, outliers, and data transformations.

Perform exploratory data analysis (EDA) using statistical techniques and data visualization tools.

Engineer, select, and transform features to improve machine learning model performance.

Prepare real-world datasets for machine learning applications by applying data cleaning, encoding, and splitting techniques.

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Charts

Students

Price

Rating & Reviews

Enrollment Distribution

5585718

udemy ID

29/09/2023

course created date

04/10/2023

course indexed date

Bot

course submited by

Data Preprocessing and Exploratory Data Analysis (EDA) - Free course | Comidoc