How to Use Random Forest in Python
Offered By: DigitalSreeni via YouTube
Course Description
Overview
Learn to implement Random Forest in Python for data analysis and machine learning tasks. Import data from CSV files, perform feature engineering, and apply Random Forest algorithms. Explore techniques for sorting data, handling dependent variables, and setting random states. Gain insights into model fitting and understanding feature importance. Access accompanying code on GitHub to reinforce your learning and practice implementation.
Syllabus
Intro
Data
Importing Libraries
Sorting Data
Dependent Variables
Random State
Fitting
Feature Importance
Taught by
DigitalSreeni
Related Courses
Social Network AnalysisUniversity of Michigan via Coursera Intro to Algorithms
Udacity Data Analysis
Johns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX