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Byte-Sized-Chunks : Decision Trees and Random Forests

In an age of decision fatigue and information overload, this course is a crisp yet thorough primer on 2 great ML techniques that help cut through the noise: decision trees and random forests.
Byte-Sized-Chunks : Decision Trees and Random Forests
  • 1299
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: Online Course
: Loonycorn
Displaying 1-4 of 4 result(s).

About Course

  •  

    Prerequisites: No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided.

    Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce.

Topics covered in this course

What is covered in this Course?

    • Design and Implement the solution to a famous problem in machine learning: predicting survival probabilities aboard the Titanic
    • Understand the perils of overfitting, and how random forests help overcome this risk
    • Identify the use-cases for Decision Trees as well as Random Forests

Who should buy this course?

  •  

    • Analytics professionals, modelers, big data professionals who haven't had exposure to machine learning
    • Engineers who want to understand or learn machine learning and apply it to problems they are solving
    • Product managers who want to have intelligent conversations with data scientists and engineers about machine learning
    • Tech executives and investors who are interested in big data, machine learning or natural language processing
    • No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to perform the coding exercise and understand the provided source code
 
Discussion
 
Provided by
L

Loonycorn is us, Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh. Between the four of us, we have studied at Stanford, IIM Ahmedabad, the IITs and have spent years (decades, actually) working in tech, in the Bay Area, New York, Singapore and Bangalore.

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