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Machine Learning Advanced: Decision Trees in Python

Features Includes:
  • Self-paced with Life Time Access
  • Certificate on Completion
  • Access on Android and iOS App

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  • Categories

    Profession

  • Duration

    04:33:06

  • 0 Students Enrolled

Description

The course is created on the basis of three pillars of learning:

  • Know (Study)
  • Do (Practice)
  • Review (Self feedback)

Know

We have created a set of concise and comprehensive videos to teach you all the Excel related skills you will need in your professional career.

Do

With each lecture, we have provide a practice sheet to complement the learning in the lecture video. These sheets are carefully designed to further clarify the concepts and help you with implementing the concepts on practical problems faced on-the-job.

Review

Check if you have learnt the concepts by comparing your solutions provided by us. Ask questions in the discussion board if you face any difficulty.

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

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

What will you learn
  • 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
Course Curriculum
Number of Lectures: 33 Total Duration: 04:33:06
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