Free Udemy Course __ Decision Trees, Random Forests, AdaBoost & XGBoost in Python

Decision Trees and Ensembling techniques in Python. How to run Bagging, Random Forest, GBM, AdaBoost & XGBoost in Python

4.5 (128,846 students students enrolled) English
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Decision Trees, Random Forests, AdaBoost & XGBoost in Python

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

Who This Course is For

  • People pursuing a career in data science
  • Working Professionals beginning their Data journey
  • Statisticians needing more practical experience
  • Anyone curious to master Decision Tree technique from Beginner to Advanced in short span of time

Your Instructor

Start-Tech Academy

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