Demystifying Data Science : Decision Tree and Random Forest

Please use the following link to register-

https://www.firstonlineuniversity.org/#/events/detail/demystifying-data-science---decision-tree-and-random-forest-70

Decision Tree and Random Forest

Decision trees are used for both classification and regression. Trees answer sequential questions that send us down a certain route of the tree given the answer. The model behaves with “if this then that” conditions ultimately yielding a specific result.

Advantages of using decision trees:

1. Easy to interpret and make for straightforward visualizations.
2. The internal workings are capable of being observed and thus make it possible to reproduce work.
3. Can handle both numerical and categorical data.
4. Perform well on large datasets
5. Are extremely fast

What is the Price:
THIS IS FREE.

Meet Your Presenter:
Navin Singh holds two Graduate degrees, Master in Computer Sciences and Application and Master in Advanced Electronics. He has his undergraduate degree majoring in Mathematics and Statistics. He has been continuously working in the field of Big Data and Artificial Intelligence.

He has worked on many Implementation projects with many Fortune 100 companies like MasterCard, GE, Cisco, Brocade, Nissan and helped Government organizations like Accountant General, Counties, Health, and Human Services to achieve their financial Data management and reporting. Navin is a Marathon runner and has done his 15th Marathon. Currently, he is involved in the research on Next Generation AI and Sigma trading algorithms.

He is a hands-on technology architect with great exposure to most of the data and AI technologies. His passion is to support the next generation of engineers and data scientists and push them to achieve the highest level of excellence.