In this video, we'll be exploring the concept of feature engineering in machine learning. Feature engineering is selecting and transforming raw data into a set of features suitable for use in a machine-learning model. Good feature engineering can be the key to building a highly accurate and efficient model, while poor feature engineering can lead to inaccurate results and wasted resources.
In this video, we'll cover the basics of feature engineering, including why it's essential, what makes a good feature, and how to go about selecting and transforming your data. We'll also discuss some common techniques for feature engineering, such as scaling, encoding, and feature extraction, and provide examples of how these techniques can be used in practice.
Whether you're just getting started in machine learning or looking to improve your existing models, understanding feature engineering is a crucial step in building high-quality models. So, if you're ready to take your machine-learning skills to the next level, be sure to watch this video and learn all about feature engineering!
🔵 Intellipaat Training courses: [ Ссылка ]
Intellipaat is a global online professional training provider. We offer some of the most updated, industry-designed certification training programs, including studies in Big Data, Data Science, Artificial Intelligence, and 150 other top-trending technologies.
We help professionals make the right career decisions, choose trainers with over a decade of industry experience, provide extensive hands-on projects, rigorously evaluate learner progress, and offer industry-recognized certifications. We also assist corporate clients in upskilling their workforce and keeping them in sync with the changing technology and digital landscape.
#MachineLearningRoadmap #MachineLearningCareer #HowtobecomeMLEngineer #Intellipaat
📌 Do subscribe to Intellipaat channel & get regular updates on videos: [ Ссылка ]
🔵 Following topics are covered in this session:
0:00 - Introduction to Feature Engineering
1:40 - Introduction to Feature Engineering
2:03 - Different Techniques for Feature Engineering
4:21 - Handling Continous Features
4:39 - Normalization
5:19 - Standardization
5:41 - Handling Categorical Features
7:26 - Feature Selection
7:59 - Common Methods For Feature Selection
----------------------------
🔵 Intellipaat Edge
1. 24*7 Lifetime Access & Support
2. Flexible Class Schedule
3. Job Assistance
4. Mentors with +14 yrs
5. Industry-Oriented Courseware
6. Life time free Course Upgrade
------------------------------
🔵 For more information:
Please write us to sales@intellipaat.com or call us at: +91-7847955955
- Website: [ Ссылка ]
- Facebook: [ Ссылка ]...
- Telegram: [ Ссылка ]
- Instagram: [ Ссылка ]
- LinkedIn: [ Ссылка ]...
- Twitter: [ Ссылка ]
