Topics

Duration

32 Weeks

Progress

0/20

Learning Progress0%

AI Roadmap

Data Cleaning & Preprocessing

Learning Path

Follow these concepts in order to master this topic.

Introduction to Data Preprocessing

Understanding Dataset Quality

Handling Missing Values

Removing Duplicate Data

Detecting & Handling Outliers

Data Transformation

Feature Scaling

Normalization

Standardization

Encoding Categorical Variables

Label Encoding

One-Hot Encoding

Feature Engineering

Feature Selection

Train/Test Split

Cross Validation Basics

Building Preprocessing Pipelines

Preventing Data Leakage

Documentation

Official documentation and references.

Video Courses

Data Preprocessing for Machine Learning

2h 48m

Feature Engineering Tutorial

1h 11m

Practice Websites

Practice what you've learned.

Kaggle Learn - Data Cleaning

UCI Machine Learning Repository

OpenML

Projects

Apply what you've learned by building real projects.

Clean and Prepare a Housing Prices Dataset

Beginner

Build a Complete Data Preprocessing Pipeline

Intermediate

Compare Different Feature Engineering Techniques

Advanced