Course · Intermediate
Decision Tree and Random Forest Modeling in Python
In this course, you'll learn how to create and implement a Decision Tree, one of the most popular supervised models used in Data Science. You'll also learn to implement the Random Forest algorithm, a powerful prediction technique.
- Intermediate friendly
- 6 hrs
- 4 lessons
- 1 project
- Premium
Course overview
Apply decision trees and random forest models to solve classification and regression problems while producing interpretable, high-performing predictions.
What's inside
4 lessons · 1 project
- 01 86 minFoundations of Decision Trees
<p>Learn the universal structure of decision trees and the inner workings of the algorithm used by scikit-learn: CART (Classification and Regression Trees).</p>
- 02 75 minBuilding Decision Trees Using Scikit-learn
Learn to preprocess data to train decision trees, and use scikit-learn to build and visualize both regression and classification trees.
- 03 73 minEvaluating and Optimizing Decision Trees
<p>Learn to evaluate the predictive power of both regression and classification trees, along with the different parameters and optimization tools available to improve their efficiency.</p>
- 04 78 minCross Validation and Ensemble Techniques for Decision Trees
<p>Learn advanced approaches for evaluating your decision trees and improve their efficiency, including cross validation, grid search, random forest, and extra trees.</p>
- 05 23 minGuided Project: Predicting Employee Productivity Using Tree Models Project
For this project, we'll step into the role of data scientists to determine the best working conditions for maximizing productivity in a garment factory using decision trees and random forests in Python.
The Dataquest guarantee
Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you'll master data skills and grow your career.
We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren't satisfied with your outcome, we'll give you a refund.
Master skills faster with Dataquest
Go from zero to job-ready
Learn exactly what you need to achieve your goal. Don't waste time on unrelated lessons.
Build your project portfolio
Build confidence with our in-depth projects, and show off your data skills.
Challenge yourself with exercises
Work with real data from day one with interactive lessons and hands-on exercises.
Showcase your path certification
Share the evidence of your hard work with your network and potential employers.
Grow your career with Dataquest.
Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.
I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.
I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest's method. The projects on Dataquest were key to getting my job. I doubled my income!
Join 1M+ data learners on Dataquest.
- 1
Create a free account
- 2
Choose a learning path
- 3
Complete exercises and projects
- 4
Advance your career
Start learning today
Start the Decision Tree and Random Forest Modeling in Python course
Join 3,359 learners — all free to start.