- Promoted by: Anonymous
- Platform: Udemy
- Category: Operating Systems & Servers
- Language: English
- Instructor: Riad Almadani • 70,000 Students
- Duration: 2 hour(s) 9 minute(s)
- Student(s): 15,672
- Rate 4.2 Of 5 From 122 Votes
- Expired on March 15, 2026
- Price: 19.99
Master Docker for real-world AI & ML workflows — Dockerfiles, Compose, Docker Model Runner, Model Context Protocol (MCP)
Unlock your potential with a coupon code
for the "Feature Engineering For Machine Learning 101" course by Riad Almadani • 70,000 Students on Udemy.
This course, boasting a 4.2-star rating from 122 reviews
and with 15,672 enrolled students, provides comprehensive training in Operating Systems & Servers.
Spanning approximately
2 hour(s)
9 minute(s)
, this course is delivered in English
and we updated the information on March 15, 2026.
To get your free access, find the coupon code at the end of this article. Happy learning!
1. Data Types Demystified
Understand Nominal, Ordinal, Interval, and Ratio features.
Learn how to visualize and interpret feature types with ease.
2. Speed Up EDA with Manus (AI Tool)
Use Manus, an AI-powered assistant, to accelerate your Exploratory Data Analysis.
Automatically generate charts, summary statistics, and insights — fast.
Let AI help you find patterns and outliers without coding everything manually.
3. Handling Missing Data Like a Pro
What missing values are and why they matter.
Practical strategies to fill in numerical and categorical gaps.
4. Smart Feature Selection
Use ANOVA F-Test, Chi-Square, and RFE to choose only the most useful features.
Build leaner, faster, and smarter models.
5. Feature Engineering with ChatGPT
Use ChatGPT prompts to brainstorm and build new features automatically.
Accelerate your workflow with AI-powered feature creation — no coding stress!
6. Dimensionality Reduction with PCA
Learn what PCA is and when to use it.
Reduce complexity while preserving the most important data patterns.
Why This Course?
Designed for absolute beginners (no advanced math or ML required)
Visual, simple, and intuitive teaching style
Real datasets, hands-on practice
Includes cutting-edge AI tools (ChatGPT, Manus)
You’ll Walk Away With:
A complete toolkit for transforming raw data into powerful model inputs.
Working knowledge of feature selection, missing data handling, PCA, and more.
Experience using AI tools like Manus and ChatGPT to save time and boost creativity.
Confidence to tackle any ML project with cleaner, smarter data.