Brought to you by the team of experts at Loonycorn, this Machine Learning: Decision Trees & Random Forests online course will teach you cool machine learning techniques to predict survival probabilities aboard the Titanic - a Kaggle problem!
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.
No prerequisites required, but 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.
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.
Python Activity: Surviving aboard the Titanic! Build a decision tree to predict the survival of a passenger on the Titanic. This is a challenge posed by Kaggle (a competitive online data science community). We’ll start off by exploring the data and transforming the data into feature vectors that can be fed to a Decision Tree Classifier.
Who is the target audience?
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