MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.86 GB | Duration: 4h 13m
using advanced classification techniques
What you'll learn
Students will learn about sklearn, which is Python's machine learning library
Students will learn about the different classifiers in the sklearn library
Students will learn how to extract information from a string of text
Students will learn how to impute missing variables and how to do this using sklearn
Students will learn how to scale data and how to do this in sklearn
Students will learn how to bin data, which converts a feature from a series to a categorical column
Students will learn about the various ways to employ feature selection
Students will learn how to select a classifier
Students will learn how to tune parameters using sklearn's GridSearchCV
Students will learn about the various ensemble methods and how they can improve accuracy
Students will take all they have learned and enter Kaggle's Titanic competition
Description
This course is designed to teach the student advanced classification techniques that will enable him to enter Kaggle's Titanic competition and achieve an improved score by using standard machine learning methods.