Decision Trees, Random Forests, AdaBoost & XGBoost in Python| Programming Buddy Club | Free Udemy Course

DECISION TREES AND ENSEMBLING TECHNIQUES IN PYTHON. HOW TO RUN BAGGING, RANDOM FOREST, GBM, ADABOOST & XGBOOST IN PYTHON

Discount - $ 94.99  FREE 100% Off

• Lectures - 61 lectures
• Skill Level -Beginner Level
• Language -  English
• Published -  Last updated 6/2020
• Coupon -JUNEFIR2020
• Instructor -
• Rating -
• Students Enrolled -

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Course Includes

• ☑️ 7 hours on-demand video

• ☑️ 3 articles

• ☑️ 19 downloadable resources

• ☑️ Full lifetime access

• ☑️ Access on mobile and TV

• ☑️ Certificate of Completion

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What Will I 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 is the target audience?

• ☑️ 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

Take this course!

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