Machine Learning Solutions
This book demonstrates a set of simple to complex problems you may encounter while building machine learning models. You'll not only learn the best possible solutions to these problems but also find out how to build projects based on each problem mentioned in the book, with a practical approach and easy-to-follow examples.
Offered by
Difficulty Level
Intermediate
Completion Time
18h52m
Language
English
About Book
Who Is This Book For?
This book is for the intermediate users such as machine learning engineers, data engineers, data scientists, and more, who want to solve simple to complex machine learning problems in their day-to-day work and build powerful and efficient machine learning models. A basic understanding of the machine learning concepts and some experience with Python programming is all you need to get started with this book.
Machine Learning Solutions
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 18h52m total length
Credit Risk Modeling
Stock Market Price Prediction
Customer Analytics
Recommendation Systems for E-Commerce
Sentiment Analysis
Jobs Recommendation Engine
Text Summarization
Developing Chatbots
Building a Real-Time Object Recognition App
Face Recognition and Face Emotion Recognition
Building Gaming bot
Appendix A
Appendix B
Related Resources
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