Machine Learning: Random Forest with Python from Scratch
Master Random Forest algorithm implementation in Python from basics to advanced concepts. Learn data preprocessing, model building & optimization.
Master Random Forest algorithm implementation in Python from basics to advanced concepts. Learn data preprocessing, model building & optimization.
This comprehensive course takes you from Python programming basics to implementing Random Forest algorithms from scratch. Starting with fundamental Python concepts, you'll progress through machine learning foundations and dive deep into Random Forest implementation. The course covers essential libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualization. You'll learn practical skills in data cleaning, feature engineering, and model optimization through hands-on projects.
Instructors:
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What you'll learn
Master Python programming fundamentals for machine learning
Understand and implement Random Forest algorithms from scratch
Learn data preprocessing and visualization techniques
Develop skills in handling missing data and categorical variables
Build and optimize machine learning models using Python libraries
Skills you'll gain
This course includes:
495 Minutes PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
This course provides a comprehensive introduction to Random Forest algorithm implementation using Python. Students progress from basic Python programming to advanced machine learning concepts, learning to build and optimize Random Forest models from scratch. The curriculum covers data preprocessing, visualization, and model implementation using popular Python libraries. Through hands-on projects and practical exercises, learners develop skills in data cleaning, feature engineering, and model optimization.
Introduction to the Course
Module 1 · 32 Minutes to complete
Introduction to Python
Module 2 · 2 Hours to complete
Introduction to Machine Learning
Module 3 · 1 Hours to complete
Random Forest Step-by-Step
Module 4 · 4 Hours to complete
Conclusion
Module 5 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Enhancing IT Education Through Expert-Led Learning
Packt Course Instructors are dedicated to delivering high-quality educational content across a wide range of IT topics, offering over 5,000 eBooks and courses designed to improve student outcomes in technology-related fields. With a focus on practical knowledge, instructors leverage their industry expertise to create engaging learning experiences that help students grasp complex concepts and apply them effectively. The courses cover diverse subjects, from programming languages to advanced data analysis, ensuring that learners at all levels can find relevant resources to enhance their skills. Additionally, Packt emphasizes personalized learning paths and provides analytics tools for educators to monitor student engagement and success, making it a valuable partner in academic settings.
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