Machine Learning: Decision Trees and Random Forests

Machine Learning: Decision Trees and Random Forests

Course Description:

This excellent Machine Learning – Decision Trees & Random Forests course will teach you two helpful machine learning techniques, decision trees and random forests. If you’re someone who works in analytics, or with big data, this Machine Learning – Decision Trees & Random Forests course will help you to problem solve in a better way. If you’re someone who needs to get to grips with machine learning, this course is for you, and it will help you to learn to use decision trees and random forests.

Our learning material is available to students 24/7 anywhere in the world, so it’s extremely convenient. These intensive online courses are open to everyone, as long as you have an interest in the topic! We provide world-class learning led by IAP, so you can be assured that the material is high quality, accurate and up-to-date.

What skills will I gain?

• 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

Meet the Instructor:

Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi, and Navdeep Singh have honed their tech expertise at Google and Flipkart. Together, they have created dozens of training courses and are excited to be sharing their content with eager students. The team believes it has distilled the instruction of complicated tech concepts into enjoyable, practical, and engaging courses.

• Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft
• Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too
• Swetha: Early Flipkart employee, IIM Ahmedabad and IIT Madras alum
• Navdeep: Longtime Flipkart employee too, and IIT Guwahati alum

How will I be assessed?

• You will have one assignment. Pass mark is 65%.
• You will only need to pay £19 for assessment.
• You will receive the results within 72 hours of submittal, and will be sent a certificate in 7-14 days.

What Certification am I going to receive?

Those who successfully pass this course will be awarded a Machine Learning – Decision Trees & Random Forests certificate. Anyone eligible for certification will receive a free e-certificate, and printed certificate.

Course Curriculum Total Units : 19
1: Introduction: You, This Course & Us!
2: Planting the seed: What are Decision Trees?
3: Growing the Tree: Decision Tree Learning
4: Branching out: Information Gain
5: Decision Tree Algorithms
6: Installing Python: Anaconda & PIP
7: Back to Basics: Numpy in Python
8: Back to Basics: Numpy & Scipy in Python
9: Titanic: Decision Trees predict Survival (Kaggle) – I
10: Titanic: Decision Trees predict Survival (Kaggle) – II
11: Titanic: Decision Trees predict Survival (Kaggle) – III
12: Overfitting: The Bane of Machine Learning
13: Overfitting continued
14: Cross-Validation
15: Simplicity is a virtue: Regularization
16: The Wisdom of Crowds: Ensemble Learning
17: Ensemble Learning continued: Bagging, Boosting & Stacking
18: Random Forests: Much more than trees
19: Back on the Titanic: Cross Validation & Random Forests