Feature Engineering | Machine Learning | Artificial Intelligence | Chat GPT | AI Agent
Note: Course Free for limited time and limited users(500 limit) so Enroll ASAP. If not free it means you are late. Scroll Down and click Enroll Now button to get enrolled
Scroll Down and click Enroll Now Button to get enrolled into the Free Course
Apply Coupon Code:Â 74F95E467DE70CEE16CB
What you’ll learn
- Develop the skills to explore, visualize, and understand raw data
- Learn how to select the most impactful features
- Handle missing data
- Explore advanced methods like dimensionality reduction
Explore related topics
This course includes:
- Role Play
- 2 hours on-demand video
- 2 downloadable resources
- Access on mobile and TV
- Full lifetime access
- Certificate of completion
Course content
4 sections • 18 lectures • 1h 51m total lengthCollapse all sections
Introduction
- Introduction
- How to create a colab notebook ?
- Reading Our Dataset
- What is structured and unstructured data ?
- What is Nominal Feature ?
- Visualizing the nominal features
- What is Ordinal Feature ?
- What is Interval feature ?
- What is Ratio features ?
- Data Scientist for a Day: Classify Features to Build a Smarter Model
Handling missing values
- What are missing values ?
- How to Handle Missing Values in Numerical Features
- How to Handle Missing Values in Categorical Features
- Data Cleanup Briefing: Solving the Missing Puzzle Pieces
Feature Selection
- What is Feature Selection ?
- Feature Selection Using Anova F Test
- Feature Selection Using Chi2
- Feature Selection With RFE
- Feature Chaos: Help the Team Select the Right Predictors
Feature Engineering With Chat GPT
- Create New Features Based On The Numerical Features with Chat GPT
- Creating more advanced features using Chat GPT
Requirements
- Basic Programming Knowledge
- Curiosity to Learn
- No Advanced Math Required
Description
Feature Engineering for Machine Learning 101 — Made Easy!
Unlock the secret to high-performing machine learning models by mastering feature engineering — the skill that separates beginners from real data pros!
This beginner-friendly course breaks down everything you need to know, with real-world examples and hands-on practice using the Titanic dataset and Google Colab. Whether you’re new to ML or want to solidify your data skills, this course is for you.
What You’ll Learn:
1- Data Types Demystified:
- What are Nominal, Ordinal, Interval, and Ratio features?
- How to visualize and understand feature types intuitively.
2- Handling Missing Data Like a Pro:
- Learn what missing values are and why they matter.
- Techniques to fill in missing numerical and categorical features.
3-Smart Feature Selection:
- Use ANOVA F-Test, Chi-Square, and RFE to keep only the features that matter.
- Build leaner, faster, and smarter ML models.
4- Bonus: Feature Engineering with ChatGPT!
- Learn how to generate new features using AI.
- Build advanced features automatically using ChatGPT prompts — no coding stress!
Why This Course?
- No advanced math required.
- Designed for complete beginners.
- Explains concepts in simple, engaging language.
- You’ll walk away with skills you can use in any ML project.
If you’re serious about improving model accuracy, boosting predictive power, and learning a skill that’s in high demand, this is your course.
Who this course is for:
- Beginners in Data Science and Machine Learning
- spiring Machine Learning Practitioners:
- Anyone Curious About Data
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Note: The course is free for a limited time and limited to 500 users. Enroll as soon as possible. If it is no longer free, it means you are late, and it has already exceeded its limits.
🎫 After adding the course into Cart at Checkout page, Apply Coupon Codeâž›.           74F95E467DE70CEE16CB              Note:- After applying coupon, if it says ”This coupon has exceeded its maximum possible redemptions…”, then it means you’re Late, and first 500 coupons already redeemed.
