LibGuides: TIM-8535 V2: Lesson 6 Resources

Lesson 6 Resources

Machine Learning With Python For Everyone
Fenner, M. (2019). Machine learning with python for everyone. Addison-Wesley Professional.
Read Chapter 3- Predicting Categories - Getting Started With Classification
This chapter discusses classification algorithms with examples.
Read Chapter 4- Predicting Numerical - Getting Started With Regression
This chapter discusses regression algorithms with examples.
Read Chapter 5- Evaluating and Comparing Learners
This chapter describes the process of evaluating different models.
Read Chapter 6- Evaluating Classifiers
This chapter describes the process of evaluating classifier performance.

Lesson 6 Dataset

Sample Scripts and Data Files

Basic Demo of Preprocessing

Lesson6PreprocessingDemo.ipynb
Please be sure to unzip file before using.
train.csv
test.csv
gender.csv

Basic Demo of Machine Learning Model Development

Lesson6MachineLearningDemo.ipynb
Please be sure to unzip file before using.
titanic_clean.csv
titanic.csv

Advanced Demo of Machine Learning Model Performance Comparison

Machine Learning With Python For Everyone
Fenner, M. (2019). Machine learning with python for everyone. Addison-Wesley Professional.
Read Chapter 1- Let's Discuss Learning
This chapter describes the terminology associated with machine learning.
Read Chapter 2- Some Technical Background
This chapter explains the mathematical background of machine learning, including algebra, geometry, probability, and related notation.