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Start Your Free Trial Today >>Explore the Frontiers of Machine Learning with XGBoost, LightGBM and CatBoost
Are you ready to take your Machine Learning skills to the next level? With ample hands-on exercises Machine Learning Level 2 is the perfect solution for you!
Gradient Boosting is perhaps one of the most widely and reliably used techniques in business and industry for solving Real-World Challenges. And now itās YOUR turn to master these models and add them to your Machine Learning toolkit!
Course Structure:
Part 1 - Ensemble Models and Decision Trees: Delve into the core of ensemble methods, understanding how combining models like decision trees can enhance predictive performance.
Part 2 - XGBoost for Regression: Gain expert knowledge in XGBoost, a cutting-edge ensemble technique known for its efficiency and effectiveness across various applications. Solve a Real-World Challenge using XGBoost for Regression.
Part 3 - XGBoost for Classification: Equip yourself with the skills to deploy sophisticated models for classification tasks, ensuring high accuracy and reliability. Solve your second Real-World Challenge with XGBoost for Classification.
Part 4 - LightGBM: Explore the intricacies of LightGBM, a high-performance gradient boosting framework that uses tree-based learning algorithms. Discover its unique approach to handling large datasets efficiently and tackle two more Real-World Challenges (Regression & Classification).
Part 5 - CatBoost: Expand your toolkit even further with an understanding of CatBoost, a fast, scalable, high-performance gradient boosting on decision trees library. Learn about its special features like handling categorical variables without extensive preprocessing. Apply CatBoost to Real-World scenarios, consolidating your understanding and skills.
Part 6 - Course Summary: Unlock the full potential of your models through targeted hyperparameter tuning, optimizing performance for any task.
Part 7 - Bonus: Learn about the AdaBoost model which is a precursor to Gradient Boosting. Understand how it works and its significance in the development of the Machine Learning landscape.
Additional Skills: In this Course you will learn lots of additional skills such as One-Hot Encoding, K-Fold Cross-Validation, Bias-Variance Tradeoff, Hyperparameter Optimization, Target Encoding and more!
Why Choose This Course?
Comprehensive Coverage: From the basics to the most advanced techniques, this course offers a complete overview of Gradient Boosting models.
Practical Learning Experience: Engage with real-world projects and case studies to apply theoretical knowledge in practical scenarios.
Flexible Learning Path: Tailored to accommodate learners at different stages, the course ensures a personalized and impactful learning experience.
Community and Expert Support: Join a vibrant community of learners and benefit from the guidance of industry experts throughout your educational journey.
This course is not just an educational program; it's a gateway to mastering the advanced techniques of Machine Learning. Whether you're looking to enhance your skills, pivot your career, or simply explore the fascinating world of Machine Learning, this course offers the knowledge, tools, and community to support your ambitions.
$35
/ MonthAccelerate your Career and boost your Earning Potential with our Expert Instructors & Community! What Youāll Unlock: - š 40+ Courses (over 200 hours!) - š 17 Specialized Career Paths - š Quizzes and Practice Activities - š Certificates for Courses & Career Paths - š Prizes for Learning - š§Ŗ Weekly Live Labs (plus recordings!) - šÆ Monthly Missions to practice even more - š¼ Monthly Career Booster Events - š¬ Full access to the SDS Community - ā” Monthly Speed Networking - š„ Monthly Resume Clinics - š„ Group Mentorship Program "In just a few months of learning at SDS, I landed a Data Analyst job!" ā Sanaz Afshar, California
$157
/ MonthAccelerate your Career and boost your Earning Potential with our Expert Instructors & Community! What Youāll Unlock: - š 40+ Courses (over 200 hours!) - š 17 Specialized Career Paths - š Quizzes and Practice Activities - š Certificates for Courses & Career Paths - š Prizes for Learning - š§Ŗ Weekly Live Labs (plus recordings!) - šÆ Monthly Missions to practice even more - š¼ Monthly Career Booster Events - š¬ Full access to the SDS Community - ā” Monthly Speed Networking - š„ Monthly Resume Clinics - š„ Group Mentorship Program Plus, Pro Plan perks just for you: - š A Personalized Career Path built around your goals - š§āš« 1-on-1 Mentoring Sessions every month - āļø Personalized Resume Reviews "In just a few months of learning at SDS, I landed a Data Analyst job!" ā Sanaz Afshar, California
Course content
Ensemble Models
05:47
Decision Tree Intuition
03:50
Gradient Boosting Intuition
07:00
Gradient Boosting Example
01:47
XGBoost
10:07
Tree Pruning
03:22
Learning Rate
03:16
Welcome From Hadelin
00:39
Real-World Case Study: Build a XGBoost Model for Regression - Step 1
07:24
Real-World Case Study: Build a XGBoost Model for Regression - Step 2
04:15
Real-World Case Study: Build a XGBoost Model for Regression - Step 3
04:38
Dummy Variables
07:21
Dummy Variable Trap
02:11
Real-World Case Study: Build a XGBoost Model for Regression - Step 4a
06:29
Real-World Case Study: Build a XGBoost Model for Regression - Step 4b
02:23
Real-World Case Study: Build a XGBoost Model for Regression - Step 5a
05:48
Real-World Case Study: Build a XGBoost Model for Regression - Step 5b
06:57
Real-World Case Study: Build a XGBoost Model for Regression - Step 6a
05:58
Real-World Case Study: Build a XGBoost Model for Regression - Step 6b
04:23
Row & Column Sampling
03:05
Real-World Case Study: Build a XGBoost Model for Regression - Step 7
03:20
Real-World Case Study: Build a XGBoost Model for Regression - Step 8
02:48
Real-World Case Study: Build a XGBoost Model for Regression - Step 9
03:10
Real-World Case Study: Build a XGBoost Model for Regression - Step 10a
03:19
Real-World Case Study: Build a XGBoost Model for Regression - Step 10b
04:44
K-Fold Cross-Validation
08:58
Bias-Variance Tradeoff (Advanced)
04:47
Real-World Case Study: Build a XGBoost Model for Regression - Step 11a
05:20
Real-World Case Study: Build a XGBoost Model for Regression - Step 11b
06:35
The Machine Learning Process (w/Tuning)
01:33
Real-World Case Study: Build a XGBoost Model for Regression - Step 12
07:28
XGBoost for Regression Quiz
XGBoost for Classification Intuition
10:19
Real-World Case Study: Build a XGBoost Model for Classification - Step 1
06:13
Real-World Case Study: Build a XGBoost Model for Classification - Step 2
03:38
Real-World Case Study: Build a XGBoost Model for Classification - Step 3
02:10
Real-World Case Study: Build a XGBoost Model for Classification - Step 4a
06:45
Real-World Case Study: Build a XGBoost Model for Classification - Step 4b
06:25
Real-World Case Study: Build a XGBoost Model for Classification - Step 5
06:55
Real-World Case Study: Build a XGBoost Model for Classification - Step 6a
06:18
Real-World Case Study: Build a XGBoost Model for Classification - Step 6b
04:22
Real-World Case Study: Build a XGBoost Model for Classification - Step 7
05:23
Real-World Case Study: Build a XGBoost Model for Classification - Step 8
06:26
Real-World Case Study: Build a XGBoost Model for Classification - Step 9
03:14
Real-World Case Study: Build a XGBoost Model for Classification - Step 10
06:11
LightGBM Intuition
01:27
Histogram-based Splits
03:01
Exclusive Feature Bundling (EFB)
08:51
Gradient-based One-side Sampling (GOSS)
05:23
Leaf-wise Tree Growth
03:08
Real-World Case Study: Build a LightGBM Model for Regression - Step 1
05:52
Real-World Case Study: Build a LightGBM Model for Regression - Step 2
04:08
Hyperparameter Optimization Techniques
04:46
Real-World Case Study: Build a LightGBM Model for Regression - Step 3a
07:17
Real-World Case Study: Build a LightGBM Model for Regression - Step 3b
05:49
Real-World Case Study: Build a LightGBM Model for Classification - Step 1
04:41
Real-World Case Study: Build a LightGBM Model for Classification - Step 2
03:21
Real-World Case Study: Build a LightGBM Model for Classification - Step 3a
04:59
Real-World Case Study: Build a LightGBM Model for Classification - Step 3b
04:59
LightGBM Quiz
CatBoost Intuition
01:00
Target Encoding
11:38
Ordered Target Encoding in CatBoost
05:12
Symmetric Trees in CatBoost
05:23
Real-World Case Study: Build a CatBoost Model for Regression - Step 1
02:59
Real-World Case Study: Build a CatBoost Model for Regression - Step 2
02:22
Real-World Case Study: Build a CatBoost Model for Regression - Step 3a
06:05
Real-World Case Study: Build a CatBoost Model for Regression - Step 3b
01:54
Real-World Case Study: Build a CatBoost Model for Classification - Step 1
04:16
Real-World Case Study: Build a CatBoost Model for Classification - Step 2
02:34
Real-World Case Study: Build a CatBoost Model for Classification - Step 3a
06:35
Real-World Case Study: Build a CatBoost Model for Classification - Step 3b
01:24
CatBoost Quiz