Machine Learning Solutions

封面

Machine Learning Solutions

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Foreword

Contributors

About the author

About the reviewer

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Preface

Who this book is for

What this book covers

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Chapter 1. Credit Risk Modeling

Introducing the problem statement

Understanding the dataset

Feature engineering for the baseline model

Selecting machine learning algorithms

Training the baseline model

Understanding the testing matrix

Testing the baseline model

Problems with the existing approach

Optimizing the existing approach

Implementing the revised approach

Best approach

Summary

Chapter 2. Stock Market Price Prediction

Introducing the problem statement

Collecting the dataset

Understanding the dataset

Data preprocessing and data analysis

Feature engineering

Selecting the Machine Learning algorithm

Training the baseline model

Understanding the testing matrix

Testing the baseline model

Exploring problems with the existing approach

Understanding the revised approach

Implementing the revised approach

The best approach

Summary

Chapter 3. Customer Analytics

Introducing customer segmentation

Understanding the datasets

Building the baseline approach

Building the revised approach

The best approach

Customer segmentation for various domains

Summary

Chapter 4. Recommendation Systems for E-Commerce

Introducing the problem statement

Understanding the datasets

Building the baseline approach

Building the revised approach

The best approach

Summary

Chapter 5. Sentiment Analysis

Introducing problem statements

Understanding the dataset

Building the training and testing datasets for the baseline model

Feature engineering for the baseline model

Selecting the machine learning algorithm

Training the baseline model

Understanding the testing matrix

Testing the baseline model

Problem with the existing approach

How to optimize the existing approach

Implementing the revised approach

The best approach

Summary

Chapter 6. Job Recommendation Engine

Introducing the problem statement

Understanding the datasets

Building the baseline approach

Building the revised approach

The best approach

Summary

Chapter 7. Text Summarization

Understanding the basics of summarization

Introducing the problem statement

Understanding datasets

Building the baseline approach

Building the revised approach

The best approach

Summary

Chapter 8. Developing Chatbots

Introducing the problem statement

Understanding datasets

Building the basic version of a chatbot

Implementing the rule-based chatbot

Testing the rule-based chatbot

Problems with the existing approach

Implementing the revised approach

Testing the revised approach

Problems with the revised approach

The best approach

Discussing the hybrid approach

Summary

Chapter 9. Building a Real-Time Object Recognition App