Decision Tree Algorithms – Simplified
In last article, we looked at the basics of Decision tree and how it helps in classifications. We also looked at advantages and disadvantages …
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Associate Analyst/Analyst – McKinsey – Gurgaon (2-4 years of experience)
Designation – Associate Analyst/Analyst Location – Gurgaon About employer – McKinsey Job description: The Analyst will be responsible for working with statisticians, actuaries, experts …
Analytics Lead – Trianz – Hyderabad (2+ Years of experience)
Designation – Analytics Lead Location – Hyderabad About employer– Trianz Job description: Responsibilities Implement recommended analytics strategies to meet the demands of business requirements …
Analytics Lead – Nett positive – Mumbai (3-5 years of experience)
Designation – Analytics Lead Location – Mumbai About employer– Nett positive Job description: Responsibilities Analysis across credit, marketing and service analytics in Retail banking, …
Comparing a Random Forest to a CART model (Part 2)
Random forest is one of the most commonly used algorithm in Kaggle competitions. Along with a good predictive power, Random forest model are pretty simple …
Comparing a CART model to Random Forest (Part 1)
I created my first simple regression model with my father in 8th standard (year: 2002) on MS Excel. Obviously, my contribution in that model was minimal, but …
Introduction to Random forest – Simplified
With increase in computational power, we can now choose algorithms which perform very intensive calculations. One such algorithm is “Random Forest”, which we will discuss …
