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Machine Learning Advanced: Decision Trees in Python

Link : Machine Learning Advanced: Decision Trees in Python

Decision trees are supervised learning algorithms used for both, classification and regression tasks where we will concentrate on classification in this first part of ...HOT & NEW

Machine Learning Advanced: Decision Trees in Python
5.0 (2 ratings)
16 students enrolled
Created by Start-Tech Academy

What you'll learn


  • Get a solid understanding of decision tree
  • Understand the business scenarios where decision tree is applicable
  • Tune a machine learning model's hyperparameters and evaluate its performance.
  • Use Pandas DataFrames to manipulate data and make statistical computations.
  • Use decision trees to make predictions
  • Learn the advantage and disadvantages of the different algorithms

Requirements


  • Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same

You're looking for a complete Decision tree course that teaches you everything you need to create a Decision tree/ Random Forest/ XGBoost model in Python, right?

You've found the right Decision Trees and tree based advanced techniques course!

After completing this course you will be able to:

  • Identify the business problem which can be solved using Decision tree/ Random Forest/ XGBoost  of Machine Learning.
  • Have a clear understanding of Advanced Decision tree based algorithms such as Random Forest, Bagging, AdaBoost and XGBoost
  • Create a tree based (Decision tree, Random Forest, Bagging, AdaBoost and XGBoost) model in Python and analyze its result.
  • Confidently practice, discuss and understand Machine Learning concepts
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Online Course CoupoNED I am very happy that there are bloggers who can help my business

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